Contrastive Meta Learning with Behavior Multiplicity for Recommendation |
Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin |
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code |
29 |
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation |
Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei |
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code |
24 |
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation |
Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang |
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code |
23 |
Graph Neural Networks for Recommender System |
Chen Gao, Xiang Wang, Xiangnan He, Yong Li |
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code |
22 |
Personalized Transfer of User Preferences for Cross-domain Recommendation |
Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He |
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code |
19 |
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation |
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King |
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code |
13 |
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation |
Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang |
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code |
11 |
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval |
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
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code |
10 |
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels |
Enyan Dai, Wei Jin, Hui Liu, Suhang Wang |
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code |
9 |
Linear, or Non-Linear, That is the Question! |
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, YeonChang Lee, Noseong Park, SangWook Kim |
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code |
9 |
Evaluating Mixed-initiative Conversational Search Systems via User Simulation |
Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani |
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code |
8 |
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation |
Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu |
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code |
8 |
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion |
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui |
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code |
8 |
Graph Collaborative Reasoning |
Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang |
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code |
8 |
CAN: Feature Co-Action Network for Click-Through Rate Prediction |
Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, XiangRong Sheng, YongNan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng |
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code |
7 |
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model |
Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto |
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code |
7 |
Long Short-Term Temporal Meta-learning in Online Recommendation |
Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin |
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code |
7 |
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation |
SungJun Park, DongKyu Chae, HongKyun Bae, Sumin Park, SangWook Kim |
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code |
7 |
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation |
Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel |
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code |
7 |
MAVE: A Product Dataset for Multi-source Attribute Value Extraction |
Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal |
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code |
7 |
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification |
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang |
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code |
7 |
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs |
Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong |
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code |
7 |
Graph Few-shot Class-incremental Learning |
Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu |
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code |
7 |
Few-shot Link Prediction in Dynamic Networks |
Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang |
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code |
7 |
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning |
Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas |
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code |
6 |
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning |
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, ChuCheng Hsieh, Yongfeng Zhang |
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code |
6 |
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering |
Zhenyi Wang, Huan Zhao, Chuan Shi |
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code |
6 |
MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition |
Bo Xu, Shizhou Huang, Chaofeng Sha, Hongya Wang |
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code |
6 |
Multi-Scale Variational Graph AutoEncoder for Link Prediction |
Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang |
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code |
6 |
Fair-SRS: A Fair Session-based Recommendation System |
Naime Ranjbar Kermany, Jian Yang, Jia Wu, Luiz Pizzato |
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code |
5 |
Improving Knowledge Tracing with Collaborative Information |
Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu |
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code |
5 |
Understanding and Mitigating the Effect of Outliers in Fair Ranking |
Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke |
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code |
5 |
MonLAD: Money Laundering Agents Detection in Transaction Streams |
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng |
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code |
5 |
Efficient Graph Convolution for Joint Node Representation Learning and Clustering |
Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
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code |
5 |
ComGA: Community-Aware Attributed Graph Anomaly Detection |
Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue |
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code |
5 |
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations |
Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen |
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code |
5 |
Directed Network Embedding with Virtual Negative Edges |
Hyunsik Yoo, YeonChang Lee, Kijung Shin, SangWook Kim |
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code |
4 |
C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System |
Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu |
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code |
4 |
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks |
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee |
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code |
4 |
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations |
Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty |
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code |
4 |
Enumerating Fair Packages for Group Recommendations |
Ryoma Sato |
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code |
4 |
Retrieving Black-box Optimal Images from External Databases |
Ryoma Sato |
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code |
4 |
Supervised Advantage Actor-Critic for Recommender Systems |
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
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code |
4 |
Towards Understanding and Answering Comparative Questions |
Alexander Bondarenko, Yamen Ajjour, Valentin Dittmar, Niklas Homann, Pavel Braslavski, Matthias Hagen |
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code |
4 |
Knowledge Enhanced Sports Game Summarization |
Jiaan Wang, Zhixu Li, Tingyi Zhang, Duo Zheng, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen |
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code |
4 |
A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion |
Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han |
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code |
4 |
Towards Unbiased and Robust Causal Ranking for Recommender Systems |
Teng Xiao, Suhang Wang |
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code |
3 |
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning |
Xiaoyun Zhao, Ning Yang, Philip S. Yu |
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code |
3 |
Improving Session Search by Modeling Multi-Granularity Historical Query Change |
Xiaochen Zuo, Zhicheng Dou, JiRong Wen |
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code |
3 |
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic |
Jin Huang, Harrie Oosterhuis, Maarten de Rijke |
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code |
3 |
Fast Semantic Matching via Flexible Contextualized Interaction |
Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin |
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code |
3 |
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings |
Till Kletti, JeanMichel Renders, Patrick Loiseau |
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code |
3 |
Scalable Graph Topology Learning via Spectral Densification |
Yongyu Wang, Zhiqiang Zhao, Zhuo Feng |
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code |
3 |
Web Search via an Efficient and Effective Brain-Machine Interface |
Xuesong Chen, Ziyi Ye, Xiaohui Xie, Yiqun Liu, Xiaorong Gao, Weihang Su, Shuqi Zhu, Yike Sun, Min Zhang, Shaoping Ma |
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code |
3 |
Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini |
Josh Devins, Julie Tibshirani, Jimmy Lin |
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code |
3 |
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems |
Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong |
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code |
3 |
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features |
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang |
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code |
3 |
A Simple but Effective Bidirectional Framework for Relational Triple Extraction |
Feiliang Ren, Longhui Zhang, Xiaofeng Zhao, Shujuan Yin, Shilei Liu, Bochao Li |
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code |
3 |
ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction |
Liang Zhao, Min Gao, Zongwei Wang |
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code |
3 |
Fair Graph Representation Learning with Imbalanced and Biased Data |
Yu Wang |
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code |
3 |
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction |
Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu |
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code |
3 |
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks |
Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li |
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code |
3 |
Learning Fair Node Representations with Graph Counterfactual Fairness |
Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li |
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code |
3 |
Time Masking for Temporal Language Models |
Guy D. Rosin, Ido Guy, Kira Radinsky |
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code |
3 |
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns |
Xiaofei Xu, Ke Deng, Xiuzhen Zhang |
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code |
3 |
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information |
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han |
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code |
3 |
A Counterfactual Modeling Framework for Churn Prediction |
Guozhen Zhang, Jinwei Zeng, Zhengyue Zhao, Depeng Jin, Yong Li |
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code |
3 |
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction |
Dai Quoc Nguyen, Vinh Tong, Dinh Q. Phung, Dat Quoc Nguyen |
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code |
3 |
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce |
Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser |
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code |
2 |
Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network |
Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng |
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code |
2 |
Triangle Graph Interest Network for Click-through Rate Prediction |
Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu |
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code |
2 |
Personalized Information Retrieval for Touristic Attractions in Augmented Reality |
Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross |
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code |
2 |
ANTHEM: Attentive Hyperbolic Entity Model for Product Search |
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy |
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code |
2 |
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction |
Suchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra |
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code |
2 |
On Sampling Collaborative Filtering Datasets |
Noveen Sachdeva, CaroleJean Wu, Julian J. McAuley |
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code |
2 |
DAME: Domain Adaptation for Matching Entities |
Mohamed Trabelsi, Jeff Heflin, Jin Cao |
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code |
2 |
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? |
Jin Yao Chin, Yile Chen, Gao Cong |
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code |
2 |
Efficient Two-stage Label Noise Reduction for Retrieval-based Tasks |
Mengmeng Kuang, Weiyan Wang, Zhenhong Chen, Lie Kang, Qiang Yan |
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code |
2 |
Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation |
Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He |
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code |
2 |
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic |
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng |
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code |
2 |
Robust Graph Learning for Misbehavior Detection |
Yingtong Dou |
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code |
2 |
Ethical Challenges in AI |
Ricardo BaezaYates |
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code |
2 |
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks |
Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang |
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code |
2 |
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision |
Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty |
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code |
2 |
How Do You Test a Test?: A Multifaceted Examination of Significance Tests |
Nicola Ferro, Mark Sanderson |
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code |
2 |
An Ensemble Model for Combating Label Noise |
Yangdi Lu, Yang Bo, Wenbo He |
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code |
2 |
Using Conjunctions for Faster Disjunctive Top-k Queries |
Michal Siedlaczek, Antonio Mallia, Torsten Suel |
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code |
2 |
Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement |
Xiaotong Wu, Lianyong Qi, Xiaolong Xu, Shui Yu, Wanchun Dou, Xuyun Zhang |
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code |
2 |
Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources |
Sixing Wu, Minghui Wang, Ying Li, Dawei Zhang, Zhonghai Wu |
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code |
2 |
Informed Multi-context Entity Alignment |
Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou |
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code |
2 |
Learning Transferable Node Representations for Attribute Extraction from Web Documents |
Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata |
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code |
2 |
Automating ETL and Mining of Ethereum Blockchain Network |
Voon Hou Su, Sourav Sen Gupta, Arijit Khan |
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code |
2 |
Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf |
Michael Soprano, Kevin Roitero, Francesco Bombassei De Bona, Stefano Mizzaro |
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code |
2 |
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search |
Zhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, XinYu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu |
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code |
1 |
Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning |
Ali Montazeralghaem, James Allan |
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code |
1 |
A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation |
Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He |
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code |
1 |
Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining |
Zhan Wang, Zhaohui Peng, Senzhang Wang, Qiao Song |
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code |
1 |
Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT |
Yingrui Yang, Yifan Qiao, Jinjin Shao, Xifeng Yan, Tao Yang |
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code |
1 |
Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning |
Ziwei Zhu, James Caverlee |
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code |
1 |
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering |
Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming |
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code |
1 |
GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning |
Minjia Zhang, Wenhan Wang, Yuxiong He |
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code |
1 |
Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases |
Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum |
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code |
1 |
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective |
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang |
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code |
1 |
POLE: Polarized Embedding for Signed Networks |
Zexi Huang, Arlei Silva, Ambuj K. Singh |
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code |
1 |
GAGE: Geometry Preserving Attributed Graph Embeddings |
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos |
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code |
1 |
Collaborative Curating for Discovery and Expansion of Visual Clusters |
Dung D. Le, Hady W. Lauw |
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code |
1 |
Diversified Subgraph Query Generation with Group Fairness |
Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu |
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code |
1 |
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs |
Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly |
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code |
1 |
Diversified Query Generation Guided by Knowledge Graph |
Xinyao Shen, Jiangjie Chen, Jiaze Chen, Chun Zeng, Yanghua Xiao |
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code |
1 |
Efficient Reachability Query with Extreme Labeling Filter |
Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao |
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code |
1 |
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling |
Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng |
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code |
1 |
Near Real Time AI Personalization for Notifications at LinkedIn |
Ajith Muralidharan |
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code |
1 |
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc |
Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty |
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code |
1 |
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies |
Lu Cheng, Ruocheng Guo, Huan Liu |
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code |
1 |
Variational User Modeling with Slow and Fast Features |
Ghazal Fazelnia, Eric Simon, Ian Anderson, Benjamin A. Carterette, Mounia Lalmas |
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code |
1 |
Sampling Multiple Nodes in Large Networks: Beyond Random Walks |
Omri BenEliezer, Talya Eden, Joel Oren, Dimitris Fotakis |
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code |
1 |
AdaptKT: A Domain Adaptable Method for Knowledge Tracing |
Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su |
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code |
1 |
Combinatorial Bandits under Strategic Manipulations |
Jing Dong, Ke Li, Shuai Li, Baoxiang Wang |
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code |
1 |
Differentially Private Ensemble Classifiers for Data Streams |
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho |
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code |
1 |
Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction |
Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang |
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code |
1 |
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training |
Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang |
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code |
1 |
A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction |
Chao Wang, Jingping Liu, Tianyi Zhuang, Jiahang Li, Juntao Liu, Yanghua Xiao, Wei Wang, Rui Xie |
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code |
1 |
Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders |
Juntao Zhang, Nanzhou Lin, Xuelong Zhang, Wei Song, Xiandi Yang, Zhiyong Peng |
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code |
1 |
PrivacyCheck v3: Empowering Users with Higher-Level Understanding of Privacy Policies |
Razieh Nokhbeh Zaeem, Ahmad Ahbab, Josh Bestor, Hussam H. Djadi, Sunny Kharel, Victor Lai, Nick Wang, K. Suzanne Barber |
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code |
1 |
Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic |
Preslav Nakov, Giovanni Da San Martino, Firoj Alam |
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code |
1 |
A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education |
Zitao Liu |
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code |
1 |
k-Clustering with Fair Outliers |
Matteo Almanza, Alessandro Epasto, Alessandro Panconesi, Giuseppe Re |
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code |
1 |
Wikipedia Reader Navigation: When Synthetic Data Is Enough |
Akhil Arora, Martin Gerlach, Tiziano Piccardi, Alberto GarcíaDurán, Robert West |
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code |
1 |
Causal Mediation Analysis with Hidden Confounders |
Lu Cheng, Ruocheng Guo, Huan Liu |
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code |
1 |
An Adaptive Unified Allocation Framework for Guaranteed Display Advertising |
Xiao Cheng, Chuanren Liu, Liang Dai, Peng Zhang, Zhen Fang, Zhonglin Zu |
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code |
1 |
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling |
Shen Gao, Yuchi Zhang, Yongliang Wang, Yang Dong, Xiuying Chen, Dongyan Zhao, Rui Yan |
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code |
1 |
An Unsupervised Detection Framework for Chinese Jargons in the Darknet |
Liang Ke, Xinyu Chen, Haizhou Wang |
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code |
1 |
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks |
Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie |
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code |
1 |
RLMob: Deep Reinforcement Learning for Successive Mobility Prediction |
Ziyan Luo, Congcong Miao |
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code |
1 |
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem |
Jiaqi Ma, Junwei Deng, Qiaozhu Mei |
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code |
1 |
Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention |
Chengcheng Mai, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Jian Liu, Chunfeng Yuan, Yihua Huang |
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code |
1 |
A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting |
Jiachuan Wang, Lei Chen, Charles Wang Wai Ng |
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code |
1 |
Interpretable Relation Learning on Heterogeneous Graphs |
Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang |
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code |
1 |
Sentiment Analysis of Fashion Related Posts in Social Media |
Yifei Yuan, Wai Lam |
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code |
1 |
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing |
Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao |
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code |
1 |
ESC-GAN: Extending Spatial Coverage of Physical Sensors |
Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
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CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction |
Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang |
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code |
1 |
GNNs for Node Clustering in Signed and Directed Networks |
Yixuan He |
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code |
1 |
Quality Assurance of a German COVID-19 Question Answering Systems using Component-based Microbenchmarking |
Andreas Both, Paul Heinze, Aleksandr Perevalov, Johannes Richard Bartsch, Rostislav Iudin, Johannes Rudolf Herkner, Tim Schrader, Jonas Wunsch, René Gürth, Ann Kristin Falkenhain |
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Graph Minimally-supervised Learning |
Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu |
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code |
1 |
A Tutorial on Stance Detection |
Dilek Küçük, Fazli Can |
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code |
1 |
Mining Frequent Patterns on Knowledge Graphs |
Lalla Mouatadid |
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code |
1 |
A GNN-based Multi-task Learning Framework for Personalized Video Search |
Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu |
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Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations |
Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie |
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code |
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Improving Personalized Search with Dual-Feedback Network |
Chenlong Deng, Yujia Zhou, Zhicheng Dou |
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code |
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Multi-Resolution Attention for Personalized Item Search |
Furkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, HengTze Cheng, Sagar Jain, Ed H. Chi, Ambuj K. Singh |
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Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search Logs |
Sahiti Labhishetty, ChengXiang Zhai, Min Xie, Lin Gong, Rahul Sharnagat, Satya Chembolu |
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Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce |
Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da |
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MtCut: A Multi-Task Framework for Ranked List Truncation |
Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao |
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code |
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Search and Discovery in Personal Email Collections |
Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler |
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code |
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Rethink e-Commerce Search |
Haixun Wang |
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code |
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'It's on the tip of my tongue': A new Dataset for Known-Item Retrieval |
Samarth Bhargav, Georgios Sidiropoulos, Evangelos Kanoulas |
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code |
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External Evaluation of Ranking Models under Extreme Position-Bias |
Yaron Fairstein, Elad Haramaty, Arnon Lazerson, Liane LewinEytan |
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Scope-aware Re-ranking with Gated Attention in Feed |
Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu |
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DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning |
Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen |
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Exploration in Recommender Systems |
Minmin Chen |
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code |
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Graph Neural Network Research at AWS AI |
George Karypis |
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code |
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A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism |
Zhuo Chen, Baoxi Liu, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu |
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code |
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Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking |
Chengzhen Fu, Enrui Hu, Letian Feng, Zhicheng Dou, Yantao Jia, Lei Chen, Fan Yu, Zhao Cao |
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Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly |
Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky |
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code |
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On Generalizing Static Node Embedding to Dynamic Settings |
Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra |
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code |
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Query Interpretations from Entity-Linked Segmentations |
Vaibhav Kasturia, Marcel Gohsen, Matthias Hagen |
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code |
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Cluster-Aware Heterogeneous Information Network Embedding |
Rayyan Ahmad Khan, Martin Kleinsteuber |
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code |
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Graph Embedding with Hierarchical Attentive Membership |
Lu Lin, Ethan Blaser, Hongning Wang |
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code |
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Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling |
Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei |
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code |
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Friend Story Ranking with Edge-Contextual Local Graph Convolutions |
Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah |
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code |
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A Peep into the Future: Adversarial Future Encoding in Recommendation |
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
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code |
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Community Trend Prediction on Heterogeneous Graph in E-commerce |
Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang |
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Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling |
Yan Fan, Chengyu Wang, Peng He, Yunhua Hu |
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a2RegInf: An Interactive System for Maximizing Influence within Arbitrary Number of Arbitrary Shaped Query Regions |
Hui Li, Qiting Yang, Jiangtao Cui |
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code |
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An Interactive Knowledge Graph Based Platform for COVID-19 Clinical Research |
Juntao Su, Edward T. Dougherty, Shuang Jiang, Fang Jin |
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Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System |
Da Xu, Chuanwei Ruan |
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Scalable Attribute Extraction at Instacart |
ShihTing Lin |
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code |
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Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization |
Shiyin Lu, YuHang Zhou, JingCheng Shi, Wenya Zhu, Qingtao Yu, QingGuo Chen, Qing Da, Lijun Zhang |
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Uncovering Causal Effects of Online Short Videos on Consumer Behaviors |
Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu |
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A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising |
Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng |
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Doctoral Consortium of WSDM'22: Exploring the Bias of Adversarial Defenses |
Han Xu |
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Towards a Cross-domain Semantically Interoperable Ecosystem |
Milenko Tosic, Fábio André Coelho, Barry Nouwt, David Emanuel Rua, Aleksandar Tomcic, Sasa Pesic |
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Studying Long-Term User Behaviour Using Dynamic Time Warping for Customer Retention |
Harsha Gwalani |
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Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script Knowledge |
Yejin Choi |
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Assessing Algorithmic Biases for Musical Version Identification |
Furkan Yesiler, Marius Miron, Joan Serrà, Emilia Gómez |
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Trustworthy Machine Learning: Fairness and Robustness |
Haochen Liu |
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Predicting Users' Gender and Age based on Mobile Tasks |
Yuan Tian |
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code |
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Experiments with Predictive Long Term Guardrail Metrics |
Sri Sri Perangur |
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code |
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Challenges in Data Production for AI with Human-in-the-Loop |
Dmitry Ustalov |
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code |
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Harvesting More Answer Spans from Paragraph beyond Annotation |
Qiaoben Bao, Jiangjie Chen, Linfang Liu, Jingping Liu, Jiaqing Liang, Yanghua Xiao |
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Keyword Assisted Embedded Topic Model |
Bahareh Harandizadeh, J. Hunter Priniski, Fred Morstatter |
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code |
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The Multi-vehicle Ride-Sharing Problem |
Kelin Luo, Chaitanya Agarwal, Syamantak Das, Xiangyu Guo |
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code |
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Reconfiguration Problems on Submodular Functions |
Naoto Ohsaka, Tatsuya Matsuoka |
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Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs |
Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin |
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code |
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Attributed Graph Modeling with Vertex Replacement Grammars |
Satyaki Sikdar, Neil Shah, Tim Weninger |
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code |
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Structure Meets Sequences: Predicting Network of Co-evolving Sequences |
Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong |
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code |
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Translating Human Mobility Forecasting through Natural Language Generation |
Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke |
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code |
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AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss |
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu |
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code |
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Improving Text Generation via Neural Discourse Planning |
Alexander Chernyavskiy |
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code |
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From Uni-relational to Multi-relational Graph Neural Networks |
Juanhui Li |
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code |
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Towards Practical Robustness Evaluation and Robustness Enhancing |
Yaxin Li |
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code |
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Obtaining Robust Models from Imbalanced Data |
Wentao Wang |
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code |
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iLFQA: A Platform for Efficient and Accurate Long-Form Question Answering |
Rhys Butler, Vishnu Dutt Duggirala, Farnoush Banaei Kashani |
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code |
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The Pit Stop Problem: How to Plan Your Next Road Trip |
Kostas Kollias |
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code |
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AI & Public Data for Humanitarian and Emergency Response |
Alejandro Jaimes |
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code |
0 |
Successes and Opportunities in Enterprise AI |
Vijay K. Narayanan |
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code |
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The Incentives Platform at Lyft |
Alex WoodDoughty, Cameron Bruggeman |
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code |
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Graph Neural Networks for the Global Economy with Microsoft DeepGraph |
Jaewon Yang, Baoxu Shi, Alex Samylkin |
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code |
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The Rise of Data Observability: Architecting the Future of Data Trust |
Barr Moses |
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0 |