Junyuan Fang's repositories
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.
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".
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).
MOEA-Net-HL
The relevant codes of our work "Enhancing Robustness and Transmission Performance of Heterogeneous Complex Networks via Multi-Objective Optimization".
alexfanjn.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Graph-Neural-Network-Learning
a simple implementation of GNN models
hello-world
personal
library
图书馆后台管理系统v1.0