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Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification

Overview

This is the official source code of ADPA.

Requirements

The PyTorch version we use is torch 1.13.0+cu117, and the Optuna version we use is 3.4.0. Please refer to the official website -- https://pytorch.org/get-started/locally/ and https://optuna.org/#installation for the detailed installation instructions.

Environments

The experiments are conducted on the machine with Intel(R) Xeon(R) Gold 6230R CPU @ 2.10GHz, and NVIDIA GeForce RTX 3090 with 24GB memory and CUDA 11.8. The operating system is Ubuntu 18.04.6 with 216GB memory.

Training

Run the following command to test ADPA:

python3 main_uns_directed_unw.py

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This is the official source code of ADPA

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