Aliciaa-svg's Stars
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
AI4HealthUOL/SSSD
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
sisaman/GAP
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
CUAI/Non-Homophily-Benchmarks
[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
PolarisRisingWar/heterophily_graph_collection
GemsLab/H2GCN
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
GemsLab/HeteRobust
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
sajqavril/homophily-and-heterophily-in-gnn
Reading list of papers (basically are conference papers) about homophily and heterophily in GNNs.
mims-harvard/GNNGuard
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
aashishkolluri/lpgnet-prototype
A prototype implementation for Link Private Graph Network (LPGNet)
iMoonLab/DHGNN
DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
yuwvandy/FairVGNN
jma712/HyperSCI
brandeis-machine-learning/FairAdj
Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
LiqunChen0606/Graph-Optimal-Transport
Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"
laclauc/FairGraph
Code for the AISTATS 2021 article : All of the Fairness for Edge Prediction with Optimal Transport
yushundong/EDITS
Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
yh-han/GSC
HobbitLong/PyContrast
PyTorch implementation of Contrastive Learning methods
BehroozRazeghi/Bottlenecks-CLUB
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs among Complexity, Leakage, and Utility
changdaeoh/FarconVAE
Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
DSE-MSU/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
EdisonLeeeee/Graph-Adversarial-Learning
A curated collection of adversarial attack and defense on graph data.
mtang724/NWR-GAE
hgh0545/Graph-Fraudster
tensorflow/privacy
Library for training machine learning models with privacy for training data
tvayer/FGW
Code for Optimal Transport for structured data with application on graphs
zfjsail/gae-pytorch
Graph Auto-Encoder in PyTorch