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A Deep Graph-based Toolbox for Fraud Detection
graph
toolkit
security
datamining
opensource
datascience
dblp-dataset
yelp-dataset
spamdetection
security-tools
fraud-detection
fraud-prevention
graph-algorithms
machine-learning
anomaly-detection
outlier-detection
graphneuralnetwork
financial-engineering
graph-neural-networks
graph-convolutional-networks
Created
2019-11-22
239 commits to master branch, last one 2 years ago
A collection of GNN-based fake news detection models.
Created
2021-03-03
59 commits to main branch, last one 2 years ago
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
Created
2022-12-02
662 commits to main branch, last one a day ago
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Created
2020-08-05
24 commits to master branch, last one 2 years ago
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Created
2022-02-04
20 commits to main branch, last one 2 years ago
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Created
2021-05-13
69 commits to main branch, last one 2 years ago
FUNDED is a novel learning framework for building vulnerability detection models.
Created
2020-11-24
161 commits to main branch, last one 12 months ago
Learning Fraud Detection from research papers and industry applications.
Created
2022-04-05
440 commits to main branch, last one about a month ago
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Created
2022-11-02
17 commits to main branch, last one about a month ago
WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering
Created
2020-03-06
10 commits to master branch, last one 4 years ago
Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
Created
2021-05-10
49 commits to main branch, last one 2 years ago
Code for reproducing results in GraphMix paper
Created
2019-09-25
11 commits to master branch, last one 4 years ago
Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
Created
2021-03-10
190 commits to master branch, last one about a year ago
This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
Created
2019-06-20
29 commits to master branch, last one 13 days ago
Tracking and Trajectory Prediction
Created
2021-01-18
18 commits to main branch, last one 3 years ago
Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.
Created
2023-03-26
284 commits to GCP branch, last one 8 months ago
A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.
Created
2021-12-17
12 commits to main branch, last one 2 years ago
3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de
Created
2022-03-14
14 commits to main branch, last one about a year ago