Projects in Awesome Lists by EdisonLeeeee
A curated list of projects in awesome lists by EdisonLeeeee .
https://github.com/edisonleeeee/awesome-masked-autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
mae masked-autoencoder self-supervised-learning
Last synced: 26 Jan 2026
https://github.com/EdisonLeeeee/Graph-Adversarial-Learning
A curated collection of adversarial attack and defense on graph data.
adversarial-attack awesome defense graph-adversarial-learning graph-data machine-learning resources semi-supervised-learning survey
Last synced: 21 Jul 2025
https://github.com/edisonleeeee/graph-adversarial-learning
A curated collection of adversarial attack and defense on graph data.
adversarial-attack awesome defense graph-adversarial-learning graph-data machine-learning resources semi-supervised-learning survey
Last synced: 04 May 2025
https://github.com/edisonleeeee/graphgallery
GraphGallery is a gallery for benchmarking Graph Neural Networks
adversarial-machine-learning dgl geometric-deep-learning graph graph-neural-networks graphgallery models pyg pytorch
Last synced: 12 Apr 2025
https://github.com/EdisonLeeeee/GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
adversarial-machine-learning dgl geometric-deep-learning graph graph-neural-networks graphgallery models pyg pytorch
Last synced: 01 May 2025
https://github.com/edisonleeeee/awesome-learning-resource
A curated list of all kinds of learning resources, blogs, books, videos and so on.
Last synced: 28 Jan 2026
https://github.com/edisonleeeee/greatx
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
adversarial-attacks distribution-shift graph-convolutional-networks graph-neural-networks graph-reliability-toolbox inherent-noise pytorch pytorch-geometric
Last synced: 05 Apr 2025
https://github.com/edisonleeeee/maskgae
[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
Last synced: 09 Apr 2025
https://github.com/edisonleeeee/iclr2022-openreviewdata
ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference
Last synced: 14 Mar 2026
https://github.com/EdisonLeeeee/SpikeNet
[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
dynamic-graphs graph-neural-networks spiking-neural-networks temporal-graph-networks
Last synced: 22 Jul 2025
https://github.com/edisonleeeee/iclr2023-openreviewdata
ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
Last synced: 16 Jun 2025
https://github.com/edisonleeeee/graphdata
A collection of graph data used for semi-supervised node classification.
Last synced: 04 Mar 2026
https://github.com/edisonleeeee/icdm2022_competition_3rd_place_solution
3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs
heterogeneous-graph-neural-network heterognn icdm-comptetion icdm2022 tianchi-competition
Last synced: 24 Oct 2025
https://github.com/edisonleeeee/spikenet
[AAAI23] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
dynamic-graphs graph-neural-networks spiking-neural-networks temporal-graph-networks
Last synced: 04 May 2025
https://github.com/EdisonLeeeee/SpikeGCL
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
graph-contrastive-learning graph-neural-networks iclr spiking-neural-networks
Last synced: 22 Jul 2025
https://github.com/edisonleeeee/spikegcl
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
graph-contrastive-learning graph-neural-networks iclr spiking-neural-networks
Last synced: 22 Jul 2025
https://github.com/edisonleeeee/dcic-2023-solution
DCIC2023 Fraud Risk Identification Competition Solution.
Last synced: 17 Mar 2026
https://github.com/edisonleeeee/sgattack
Official Repository for "Adversarial Attack on Large Scale Graph." [TKDE 2021]
adversarial-attacks gcn graph graph-neural-networks sga sgc
Last synced: 12 Aug 2025
https://github.com/edisonleeeee/graphssm
[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
state-space-model temporal-graph-learning temporal-graphs
Last synced: 19 Sep 2025
https://github.com/edisonleeeee/guard
[CIKM 2023] GUARD: Graph Universal Adversarial Defense
adversarial-defense dgl graph-adversarial-learning graph-neural-networks
Last synced: 04 May 2025
https://github.com/edisonleeeee/mooon
Graph Data Augmentation Library for PyTorch Geometric
graph-data-augmentation graph-neural-networks pytorch pytorch-geometric
Last synced: 04 May 2025
https://github.com/edisonleeeee/magi
[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
graph-clustering graph-contrastive-learning kdd2024
Last synced: 04 May 2025
https://github.com/edisonleeeee/cikm22_fl_competition
4th place (4/1746) solution of CIKM 2022 AnalytiCup Competition.
cikm2022 competition federated-graph-learning federated-hetero-task-learning federated-learning graph-neural-networks
Last synced: 15 Aug 2025
https://github.com/edisonleeeee/lrgae
A comprehensive (masked) graph autoencoders benchmark.
benchmark graph-autoencoder graph-contrastive-learning graph-neural-networks masked-autoencoder
Last synced: 10 Aug 2025
https://github.com/edisonleeeee/sgc_tf2.0
Python implement of SGC with Tensorflow 2.0.
Last synced: 01 Mar 2025
https://github.com/edisonleeeee/mediangcn
Official PyTorch implementation of MedianGCN and TrimmedGCN in Understanding Structural Vulnerability in Graph Convolutional Networks (IJCAI 2021).
Last synced: 04 May 2025
https://github.com/edisonleeeee/blockgcl
PyTorch implementation of Blockwise Graph Contrastive Learning (BlockGCL)
Last synced: 19 Sep 2025
https://github.com/edisonleeeee/introduction_to_graph_adversarial_learning
An introduction to graph adversarial learning
Last synced: 06 Mar 2026