A Deep Graph-based Toolbox for Fraud Detection

A collection of GNN-based fake news detection models.

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

FUNDED is a novel learning framework for building vulnerability detection models.

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"

Graph Convolutional Networks for 4-class EEG Classification

Code for reproducing results in GraphMix paper

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.

Tracking and Trajectory Prediction

3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de

Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)

Reinforcement learning on dynamic knowledge graphs

The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS

Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)