EdisonLeeeee

Awesome-Fair-Graph-Learning

Paper List for Fair Graph Learning (FairGL).

Awesome-Learning-Resource

A curated list of all kinds of learning resources, blogs, books, videos and so on.

Awesome-Masked-Autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

Graph-Adversarial-Learning

A curated collection of adversarial attack and defense on graph data.

GraphGallery

GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.

GreatX

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

MaskGAE

[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

SpikeGCL

[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)

SpikeNet

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

pytorch_geometric

Graph Neural Network Library for PyTorch

EdisonLeeeee/Awesome-Masked-Autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

EdisonLeeeee/Graph-Adversarial-Learning

A curated collection of adversarial attack and defense on graph data.

EdisonLeeeee/GraphGallery

GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.

EdisonLeeeee/Awesome-Fair-Graph-Learning

Paper List for Fair Graph Learning (FairGL).

EdisonLeeeee/ICLR2023-OpenReviewData

ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference

EdisonLeeeee/ICLR2022-OpenReviewData

ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference

EdisonLeeeee/GreatX

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

EdisonLeeeee/MaskGAE

[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

EdisonLeeeee/SpikeNet

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

EdisonLeeeee/ICDM2022_competition_3rd_place_solution

3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs

EdisonLeeeee/SpikeGCL

[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)

EdisonLeeeee/DCIC-2023-Solution

DCIC2023 Fraud Risk Identification Competition Solution.

EdisonLeeeee/arxiv-daily

arxiv-daily

EdisonLeeeee/GUARD

[CIKM 2023] GUARD: Graph Universal Adversarial Defense

EdisonLeeeee/MAGI

[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

EdisonLeeeee/STEP

EdisonLeeeee/GraphSSM

[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study

EdisonLeeeee/Mooon

Graph Data Augmentation Library for PyTorch Geometric

EdisonLeeeee/SAT

EdisonLeeeee/CIKM22_FL_Competition

4th place (4/1746) solution of CIKM 2022 AnalytiCup Competition.

EdisonLeeeee/lrGAE

A comprehensive (masked) graph autoencoders benchmark.

EdisonLeeeee/BlockGCL

PyTorch implementation of Blockwise Graph Contrastive Learning (BlockGCL)

EdisonLeeeee/EdisonLeeeee.github.io

Github pages

EdisonLeeeee/Hetero2Net

EdisonLeeeee/DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

EdisonLeeeee/EdisonLeeeee

EdisonLeeeee/KDDcup24-AQA

EdisonLeeeee/TemporalDatasets

EdisonLeeeee/flashbert

EdisonLeeeee/pytorch_geometric

Graph Neural Network Library for PyTorch