update

README.md

@@ -75,22 +75,6 @@ where `${CUDA}` should be replaced by either `cpu`, `cu117`, or `cu118` dependin
 | **Windows** | ✅    | ✅      | ✅      |
 | **macOS**   | ✅    |         |         |
 
-#### PyTorch 1.13
-
-To install the binaries for PyTorch 1.13.0, simply run
-
-```
-pip install torch-cluster -f https://data.pyg.org/whl/torch-1.13.0+${CUDA}.html
-```
-
-where `${CUDA}` should be replaced by either `cpu`, `cu116`, or `cu117` depending on your PyTorch installation.
-
-|             | `cpu` | `cu116` | `cu117` |
-|-------------|-------|---------|---------|
-| **Linux**   | ✅    | ✅      | ✅      |
-| **Windows** | ✅    | ✅      | ✅      |
-| **macOS**   | ✅    |         |         |
-
 **Note:** Binaries of older versions are also provided for PyTorch 1.4.0, PyTorch 1.5.0, PyTorch 1.6.0, PyTorch 1.7.0/1.7.1, PyTorch 1.8.0/1.8.1, PyTorch 1.9.0, PyTorch 1.10.0/1.10.1/1.10.2, PyTorch 1.11.0, PyTorch 1.12.0/1.12.1 and PyTorch 1.13.0/1.13.1 (following the same procedure).
 For older versions, you need to explicitly specify the latest supported version number or install via `pip install --no-index` in order to prevent a manual installation from source.
 You can look up the latest supported version number [here](https://data.pyg.org/whl).