There are 0 repository under graphneuralnetwork topic.
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
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
FUNDED is a novel learning framework for building vulnerability detection models.
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Learning Fraud Detection from research papers and industry applications.
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.
This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
Tracking and Trajectory Prediction
Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.
A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.
3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de
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.
Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)
Supporting code for doi 10.1021/acs.jcim.0c01344
A comprehensive collection of GNN works in NeurIPS 2019.
DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano and Nuria Oliver.
Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)
Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.
The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks
LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks