mgao97 Goto Github PK

aer

allset

This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"

amnet

anograph

Sketch-Based Anomaly Detection in Streaming Graphs

anomaly-detection

anomaly_detection

arrow

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

awesome-network-embedding

A curated list of network embedding techniques.

bi-vqrae

c-s

carla

Open-source simulator for autonomous driving research.

cflp

Author: Tong Zhao ([email protected]). ICML 2022. Learning from Counterfactual Links for Link Prediction

change2vec

comga

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

community-detection-papers

covid-19

cycleratio

Data and Codes from the paper "Characterizing cycle structure in complex networks"

dagad

Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

dgfraud

A Deep Graph-based Toolbox for Fraud Detection

dgl-lifesci

Python package for graph neural networks in chemistry and biology

dgraph_experiments

This is a repository contaning baseline code for DGraphFin Dataset

done_adone

Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding

dtinet

A Network Integration Approach for Drug-Target Interaction Prediction

dynamic-graph-dataset

Dynamic graph/network dataset for dynamic graph/network embedding/representation

dynamic-graph-embedding-method

dynamic graph/network embedding/representation methods

easy-graph

EasyGraph is an open source graph processing library, which covers advanced graph processing methods in structural hole spanners detection, graph embedding and several classic methods.

easygraph_benchmark_20230501

benchmark results

egnn

Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.