alexfanjn/UGCN_PyG

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MIT License
Created about 2 years ago
Updated about 2 years ago

alexfanjn/UGCN_PyG

alexfanjn

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Reimplementation of NeurIPS 2021 paper "Universal Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).

Graph-Neural-Networks-With-Heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.

multi-objective-attack-power-grid

The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".

arXiv-daily-graphMining

A simple collection of arXiv daily graph mining-related papers for personal reading.

FAGCN_PyG

Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).

Cascading-failure-learning

The relevant data and codes of our ISCAS2022 work "Predicting Onset Time of Cascading Failure in Power Systems Using A Neural Network-based Classifier".

GANI

The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".

H2GCN_PyG

Reimplementation of NeurIPS 2020 paper "Beyond homophily in graph neural networks: Current limitations and effective designs" based on PyTorch and PyTorch Geometric (PyG).

Impact-analysis-of-network-structures

The relevant data and codes of our ISCAS2023 work "Impact of Structure of Network Based Data on Performance of Graph Neural Networks".

GeomGCN_PyG

Reimplementation of ICLR20 paper "Geom-GCN: Geometric Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).