graphneuralnetwork

There are 119 repositories under graphneuralnetwork topic.

  • safe-graph/DGFraud

    A Deep Graph-based Toolbox for Fraud Detection

    Language:Python7381413163

  • safe-graph/GNN-FakeNews

    A collection of GNN-based fake news detection models.

    Language:Python51172292

  • awslabs/graphstorm

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

    Language:Python4311232468

  • YingtongDou/CARE-GNN

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

    Language:Python28341659

  • INK-USC/KagNet

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

    Language:Python27412055

  • octavian-ganea/equidock_public

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

    Language:Roff24672358

  • safe-graph/DGFraud-TF2

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

    Language:Python13241032

  • HuantWang/FUNDED_NISL

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

    Language:Python12872736

  • zixi-liu/Fraud-Detection-Papers

    Learning Fraud Detection from research papers and industry applications.

    Language:Jupyter Notebook1284019

  • nsidn98/InforMARL

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

    Language:Python12323225

  • googlebaba/WWW2020-O2MAC

    WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

    Language:Python872612

  • magnumical/GCN_for_EEG

    Graph Convolutional Networks for 4-class EEG Classification

    Language:Python841920

  • Namkyeong/BGRL_Pytorch

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

    Language:Python81248

  • vikasverma1077/GraphMix

    Code for reproducing results in GraphMix paper

    Language:Python725314

  • YukeWang96/GNNAdvisor_OSDI21

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

    Language:Cuda661720

  • armanihm/GDC

    Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

    Language:Python612016
  • Benchmark_dataset_for_graph_classification

    FilippoMB/Benchmark_dataset_for_graph_classification

    Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.

    Language:Python50418

  • YukeWang96/MGG_OSDI23

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

    Language:Cuda41154

  • ecolab-nus/lisa

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

    Language:Dockerfile39453

  • Sai-Venky/Trackjectory

    Tracking and Trajectory Prediction

    Language:Python38229
  • Batch3DMOT

    robot-learning-freiburg/Batch3DMOT

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

    Language:Python33342

  • AndrewColligan/CADNet

    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.

    32235

  • aimclub/ReDKG

    Reinforcement learning on dynamic knowledge graphs

    Language:Python27504

  • machine-reasoning-ufrgs/GNN-GCP

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

    Language:Python25348

  • josejimenezluna/molgrad

    Supporting code for doi 10.1021/acs.jcim.0c01344

    Language:Jupyter Notebook23368

  • gravins/dynamic_graph_benchmark

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

    Language:Python22203

  • cshjin/gnn_in_neurips_2019

    A comprehensive collection of GNN works in NeurIPS 2019.

    21102

  • gravins/TG-ODE

    Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24

    Language:Python20112
  • DiffWire

    AdrianArnaiz/DiffWire

    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.

    Language:Jupyter Notebook19110
  • eqgat

    Bayer-Group/eqgat

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

    Language:Python19400

  • ukaukaaaa/GazeGNN

    Official Code for GazeGNN: A Gaze-guided Graph Neural Network for Chest X-ray Classification [WACV 2024]

    Language:Python17171

  • WxxShirley/CIKM2023DiRec

    Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"

    Language:Python16102
  • InferencePGMbyGNN

    anvinhnguyendinh/InferencePGMbyGNN

    A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf

    Language:Python14112

  • martinakaduc/xNeuSM

    Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks

    Language:Python14230

  • abhilash1910/Deep-Graph-Learning

    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.

    Language:Jupyter Notebook13103
  • LightMHC

    instadeepai/LightMHC

    LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks

    Language:Python12440