Pinned Repositories
1806
18.06 course at MIT
Awesome-Deep-Community-Detection
A Comprehensive Survey on Community Detection with Deep Learning
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-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)
GeZhangMQ.github.io
GmapAD
Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping
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
XiaoxiaoMa-MQ's Repositories
XiaoxiaoMa-MQ/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.
XiaoxiaoMa-MQ/GmapAD
Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping
XiaoxiaoMa-MQ/Awesome-Deep-Community-Detection
A Comprehensive Survey on Community Detection with Deep Learning
XiaoxiaoMa-MQ/1806
18.06 course at MIT
XiaoxiaoMa-MQ/awesome-graph-data-augmentaion
A curated list of publications and code about data augmentaion for graphs.
XiaoxiaoMa-MQ/DiffusionCLIP
[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
XiaoxiaoMa-MQ/dpm-solver
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
XiaoxiaoMa-MQ/GeZhangMQ.github.io
XiaoxiaoMa-MQ/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
XiaoxiaoMa-MQ/InfoDiffusion
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
XiaoxiaoMa-MQ/latex-css
LaTeX.css is a CSS library that makes your website look like a LaTeX document
XiaoxiaoMa-MQ/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
XiaoxiaoMa-MQ/SOTAPaperGNN
Volunteery paper reading group. Welcome to join us and share your thoughts and ideas
XiaoxiaoMa-MQ/XiaoxiaoMa-MQ.github.io
XiaoxiaoMa-MQ/TAG-Benchmark
Benchmark