yixinliu233

GREET

[AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

D2PT

[KDD'23] Learning Strong Graph Neural Networks with Weak Information

G-OOD-D

[WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

SIGNET

TADDY_pytorch

A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).

CoLA

[TNNLS'21] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

SUBLIME

[WWW'22] Towards Unsupervised Deep Graph Structure Learning

ANEMONE

A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21

FedStar

[AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

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.

SL-GAD

A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection", TKDE-21

yixinliu233.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes