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.Awesome-Learning-Resource
A curated list of all kinds of learning resources, blogs, books, videos and so on.RS-Adversarial-Learning
A curated collection of adversarial attack and defense on recommender systems.Awesome-Fair-Graph-Learning
Paper List for Fair Graph Learning (FairGL).ICLR2023-OpenReviewData
ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/ConferenceICLR2022-OpenReviewData
ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/ConferenceGreatX
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).MaskGAE
[KDD 2023] Whatโs Behind the Mask: Understanding Masked Graph Modeling for Graph AutoencodersSpikeNet
[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural NetworksICDM2022_competition_3rd_place_solution
3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence GraphsGraphData
A collection of graph data used for semi-supervised node classification.DCIC-2023-Solution
DCIC2023 Fraud Risk Identification Competition Solution.SpikeGCL
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0๏ธโฃ1๏ธโฃ SpikeGCL)arxiv-daily
arxiv-dailyAwesome-SAR-Detection
A curated list of SAR detection datasets.GUARD
[CIKM 2023] GUARD: Graph Universal Adversarial DefenseSGAttack
Official Repository for "Adversarial Attack on Large Scale Graph." [TKDE 2021]Mooon
Graph Data Augmentation Library for PyTorch GeometricSTEP
SAT
SpikingNeuralNetworks
Spiking Neural Networks ๏ผ่ๅฒ็ฅ็ป็ฝ็ป่ฐ็ ๏ผMedianGCN
Official PyTorch implementation of MedianGCN and TrimmedGCN in Understanding Structural Vulnerability in Graph Convolutional Networks (IJCAI 2021).CIKM22_FL_Competition
4th place (4/1746) solution of CIKM 2022 AnalytiCup Competition.GraphAdv
TensorFlow 2 implementation of state-of-the-arts graph adversarial attack and defense models (methods).MAGI
[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning PerspectiveHMM_Algorithms
Implement of HMM Algorithms (by numpy).SVD_HMM
Python implement of SVD+HMM for face recognition.EdisonLeeeee.github.io
Github pagesBlockGCL
PyTorch implementation of Blockwise Graph Contrastive Learning (BlockGCL)SAR-Ship-Detection-Detectron2
SAR Ship detection with Detection2SGC_tf2.0
Python implement of SGC with Tensorflow 2.0.CenterSAR
CenterNet for SAR ship detection based on Detectron2Hetero2Net
Face-Recognition
Simple implement of Face Recognition algorithms on the LFW and ORL dataset.EdisonLeeeee
tensorflow-jupyterlab-docker
Tensorflow 2.1 GPU with Python 3.6 and jupyterlabIntroduction_to_graph_adversarial_learning
An introduction to graph adversarial learningTemporalDatasets
DropPath
Implementation of DropPath: A Structured Dropout for Graph Neural Networks in PyTorch.glcore
graph learing toolboxGraphSSM
[arXiv 2024] State Space Models on Temporal Graphs: A First-Principles StudylrGAE
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