Junyuan Fang (@alexfanjn)
  • Stars
    star
    298
  • Global Rank 89,566 (Top 4 %)
  • Followers 38
  • Following 16
  • Registered about 8 years ago
  • Most used languages
    Python
    100.0 %
  • Location 🇭🇰 Hong Kong
  • Country Total Rank 389
  • Country Ranking
    Python
    269

Top repositories

1

Graph-Neural-Networks-With-Heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.
216
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2

multi-objective-attack-power-grid

The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".
Python
22
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3

arXiv-daily-graphMining

A simple collection of arXiv daily graph mining-related papers for personal reading.
Python
18
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4

FAGCN_PyG

Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).
Python
15
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5

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".
Python
14
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6

GANI

The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".
Python
7
star
7

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).
Python
7
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8

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".
Python
4
star
9

GeomGCN_PyG

Reimplementation of ICLR20 paper "Geom-GCN: Geometric Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).
Python
3
star
10

UGCN_PyG

Reimplementation of NeurIPS 2021 paper "Universal Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).
Python
1
star