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.

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

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

EquiDock: geometric deep learning for fast rigid 3D protein-protein docking

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

Learning Fraud Detection from research papers and industry applications.

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

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

WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

Graph Convolutional Networks for 4-class EEG Classification

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

Code for reproducing results in GraphMix paper

Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper on deep learning from planar B-Rep CAD models.

A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.

Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.

Tracking and Trajectory Prediction