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Distance-Recomputator and Topology Reconstructor

Motivation:

  1. K-hop Sampling & K-hop Message Passing
  2. Distance Recomputation
  3. K-hop Topology Reconstruction
  4. Heat Diffusion Propagation
  5. Dataset Tuning

Citation

If you find GraphSnapShot useful or relevant to your project and research, please kindly cite our paper:

@article{liu2024distancerecomputatortopologyreconstructor,
      title={Distance Recomputator and Topology Reconstructor for Graph Neural Networks}, 
      author={Dong Liu and Meng Jiang},
      year={2024},
      eprint={2406.17281},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2406.17281}, 
}

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Efficient Algorithm Design for Multi-hop Graph Learning

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