FelixDJC

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Awesome-Knowledge-Graph-Reasoning

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

Dink-Net

[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".

HSAN

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

Awesome-Incomplete-multi-view-clustering

A collection of incomplete multi-view clustering paper

Awesome-Graph-Anomaly-Detection

A collection of papers for graph anomaly detection, and published algorithms and datasets.

DGLD

Deep Graph Outlier Detection

GRADATE

An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.

ICL_SSL

[IEEE TNNLS 2022] An official source code for paper Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning.

RGC

[ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.

MVBGC-NFF

The code for MVBGC-NFF.

LSWMKC

MKCDNM

NLGAD

An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.

yueliu1999.github.io

Yue Liu's HomePage.

SAMCL

Graph Anomaly Detection

SIGIR23-RPC

SAMCL