XiaoxiaoMa-MQ's repositories
Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
Awesome-Deep-Community-Detection
A Comprehensive Survey on Community Detection with Deep Learning
1806
18.06 course at MIT
awesome-graph-data-augmentaion
A curated list of publications and code about data augmentaion for graphs.
DiffusionCLIP
[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
dpm-solver
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
InfoDiffusion
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
latex-css
LaTeX.css is a CSS library that makes your website look like a LaTeX document
pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
SOTAPaperGNN
Volunteery paper reading group. Welcome to join us and share your thoughts and ideas
TAG-Benchmark
Benchmark