alexfanjn
Ph.D. student @ City University of Hong Kong (CityU)
City University of Hong KongHong Kong SAR
Pinned Repositories
arXiv-daily-graphMining
A simple collection of arXiv daily graph mining-related papers for personal reading.
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".
FAGCN_PyG
Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).
GANI
The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".
GeomGCN_PyG
Reimplementation of ICLR20 paper "Geom-GCN: Geometric 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.
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".
MOEA-Net-HL
The relevant codes of our work "Enhancing Robustness and Transmission Performance of Heterogeneous Complex Networks via Multi-Objective Optimization".
multi-objective-attack-power-grid
The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".
alexfanjn's Repositories
alexfanjn/Graph-Neural-Networks-With-Heterophily
This repository contains the resources on graph neural network (GNN) considering heterophily.
alexfanjn/multi-objective-attack-power-grid
The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".
alexfanjn/arXiv-daily-graphMining
A simple collection of arXiv daily graph mining-related papers for personal reading.
alexfanjn/FAGCN_PyG
Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).
alexfanjn/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".
alexfanjn/GANI
The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".
alexfanjn/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).
alexfanjn/GeomGCN_PyG
Reimplementation of ICLR20 paper "Geom-GCN: Geometric Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).
alexfanjn/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".
alexfanjn/MOEA-Net-HL
The relevant codes of our work "Enhancing Robustness and Transmission Performance of Heterogeneous Complex Networks via Multi-Objective Optimization".
alexfanjn/UGCN_PyG
Reimplementation of NeurIPS 2021 paper "Universal Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).
alexfanjn/alexfanjn
Config files for my GitHub profile.
alexfanjn/alexfanjn.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
alexfanjn/Graph-Neural-Network-Learning
a simple implementation of GNN models
alexfanjn/hello-world
personal
alexfanjn/library
图书馆后台管理系统v1.0
alexfanjn/NLGNN_PyG
Reimplementation of TPAMI 2022 paper "Non-Local Graph Neural Networks" based on PyTorch and PyTorch Geometric (PyG).