alexfanjn Goto Github PK
Name: Junyuan Fang
Type: User
Company: City University of Hong Kong
Bio: Ph.D. student @ City University of Hong Kong (CityU)
Location: Hong Kong SAR
Junyuan Fang's Projects
alexfanjn
Config files for my GitHub profile.
alexfanjn.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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-network-learning
a simple implementation of GNN models
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).
hello-world
personal
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".
library
图书馆后台管理系统v1.0
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".
nlgnn_pyg
Reimplementation of TPAMI 2022 paper "Non-Local Graph Neural Networks" based on PyTorch and PyTorch Geometric (PyG).
ugcn_pyg
Reimplementation of NeurIPS 2021 paper "Universal Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).
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