Class-Attentive Diffusion Network for Semi-Supervised Classification [AAAI'21] (official implementation)

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Deep Learning CAD-Net
Overview

Class-Attentive Diffusion Network for Semi-Supervised Classification

Official Implementation of AAAI 2021 paper Class-Attentive Diffusion Network for Semi-Supervised Classification.

The link above provides the full version of the paper, including appendices.

This repository provides both source codes and datasets for experiments on citation networks (CiteSeer, Cora, and PubMed).

To reproduce the results reported on the paper, just run the demo files as,

python demo_citeseer.py

python demo_cora.py

python demo_pubmed.py

Environments

For further requirements, please check the requirements.txt

Contact [email protected] if you have any questions.

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Comments
  • RuntimeError: softmax() Expected a value of type 'Optional[Tensor]' for argument 'ptr' but instead found type 'int'

    RuntimeError: softmax() Expected a value of type 'Optional[Tensor]' for argument 'ptr' but instead found type 'int'

    (gcn_test) root@hecs-x-large-2-linux-20210127093009:~/CAD-NET/CAD-Net/src# python demo_cora.py /root/anaconda3/envs/gcn_test/lib/python3.8/site-packages/torch/cuda/__init__.py:52: UserWarning: CUDA initialization: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:100.) return torch._C._cuda_getDeviceCount() > 0 Traceback (most recent call last): File "demo_cora.py", line 140, in <module> train(model, optimizer, data) File "demo_cora.py", line 78, in train out, ent, _ = model(data, is_debug=False) File "/root/anaconda3/envs/gcn_test/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "demo_cora.py", line 67, in forward x, ent, debug_tensor = self.adgs(x, edge_index, train_mask, is_debug) File "/root/anaconda3/envs/gcn_test/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/root/CAD-NET/CAD-Net/src/AdaCAD_cora.py", line 30, in forward transP, sum_pipj = self.compute_transP(cd, edge_index) File "/root/CAD-NET/CAD-Net/src/AdaCAD_cora.py", line 78, in compute_transP transP = softmax(pipj, row, cd.size(0)) RuntimeError: softmax() Expected a value of type 'Optional[Tensor]' for argument 'ptr' but instead found type 'int'. Position: 2 Value: 2708 Declaration: softmax(Tensor src, Tensor? index=None, Tensor? ptr=None, int? num_nodes=None, int dim=0) -> (Tensor) Cast error details: Unable to cast Python instance to C++ type (compile in debug mode for details)

    opened by lvjiujin 1
Owner
Jongin Lim
Jongin Lim
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