XuexiongLuoMQ

XuexiongLuoMQ

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Location:Sydney

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XuexiongLuoMQ's starred repositories

Awesome-Brain-Graph-Learning-with-GNNs

Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in brain graph learning with GNNs to join the project.

License:Apache-2.0Stargazers:8Issues:0Issues:0

ReiPool

ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning

Language:PythonLicense:Apache-2.0Stargazers:1Issues:0Issues:0

BraGCL-framework

An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis (WSDM 2024 Demo )

Language:PythonLicense:Apache-2.0Stargazers:2Issues:0Issues:0

GLADC

The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.

Language:PythonLicense:MITStargazers:9Issues:0Issues:0

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.

License:MITStargazers:1Issues:0Issues:0

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.

License:MITStargazers:310Issues:0Issues:0

ComGA

The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.

Language:PythonLicense:MITStargazers:34Issues:0Issues:0

DSNR

The paper "Deep Semantic Network Representation" was accepted by ICDM 2020.

Language:PythonLicense:MITStargazers:3Issues:0Issues:0