graphneuralnetwork

There are 1 repository under graphneuralnetwork topic.

safe-graph / DGFraud
A Deep Graph-based Toolbox for Fraud Detection
anomaly-detection datamining datascience dblp-dataset financial-engineering fraud-detection fraud-prevention graph graph-algorithms graph-convolutional-networks graph-neural-networks graphneuralnetwork machine-learning opensource outlier-detection security security-tools spamdetection toolkit yelp-dataset
Language:Python 715
safe-graph / GNN-FakeNews
A collection of GNN-based fake news detection models.
benchmarking deep-learning fakenewsdetection graphneuralnetwork machine-learning misinformation social-media social-network-analysis
Language:Python 481
awslabs / graphstorm
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
graph graphneuralnetwork machine-learning pytorch
Language:Python 401
INK-USC / KagNet
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
commonsense reasoning natural-language-processing graphneuralnetwork commonsense-reasoning
Language:Python 274
YingtongDou / CARE-GNN
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
datamining deep-learning fraud-detection fraud-prevention graphneuralnetwork machine-learning reinforcement-learning security
Language:Python 263
octavian-ganea / equidock_public
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
deeplearning docking drug-discovery drugdiscovery equivariance equivariant-network equivariant-representations geometry graphneuralnetwork protein-protein-interaction proteins
Language:Roff 237
safe-graph / DGFraud-TF2
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
anomaly-detection datamining datascience dblp-dataset financial-engineering fraud-detection fraud-prevention graph-algorithms graphneuralnetwork machine-learning opensource outlier-detection security security-tools spam-detection toolkit yelp-dataset
Language:Python 130
HuantWang / FUNDED_NISL
FUNDED is a novel learning framework for building vulnerability detection models.
datacollection graphneuralnetwork machine-learning vulnerability-detection
Language:Python 129
zixi-liu / Fraud-Detection-Papers
Learning Fraud Detection from research papers and industry applications.
anomaly-detection deep-learning fraud-detection machine-learning graphneuralnetwork
Language:Jupyter Notebook 115
nsidn98 / InforMARL
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
graph-neural-networks graphneuralnetwork icml-2023 multiagent-reinforcement-learning navigation reinforcement-learning reinforcement-learning-algorithms reinforcement-learning-environments
Language:Python 102
googlebaba / WWW2020-O2MAC
WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering
graph-clustering multiview graphneuralnetwork
Language:Python 85
Namkyeong / BGRL_Pytorch
Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
graph graphneuralnetwork pytorch representation-learning
Language:Python 78
magnumical / GCN_for_EEG
Graph Convolutional Networks for 4-class EEG Classification
graph graph-convolutional-networks graphneuralnetwork machine-learning
Language:Python 75
vikasverma1077 / GraphMix
Code for reproducing results in GraphMix paper
gnn regularizer gcn graphneuralnetwork semisupervised-learning
Language:Python 72
YukeWang96 / GNNAdvisor_OSDI21
Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
pytorch deep-learning cuda gnn gpu graph graphneuralnetwork
Language:Cuda 65
armanihm / GDC
Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
bayesian-deep-learning bayesian-neural-networks deep-learning deep-neural-networks gcn gcnn graph-convolutional-networks graph-deep-learning graph-neural-network graph-neural-networks graphneuralnetwork machine-learning
Language:Python 57
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.
dataset graph-classification graph-dataset graph-kernels graph-neural-networks
Language:Python 49
YukeWang96 / MGG_OSDI23
Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.
deeplearning gnn nvshmem gpu multi-gpu graph graphneuralnetwork
Language:Cuda 41
Sai-Venky / Trackjectory
Tracking and Trajectory Prediction
tracking graph graphneuralnetwork convolutional-neural-networks convolutional-neural-network trajectory-prediction trajectory-generation tracking-algorithm object-detection object-recognition object-tracking deep-learning deep-learning-algorithms
Language:Python 38
ecolab-nus / lisa
A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.
accelerator cgra compiler compiler-optimization gnn graph-neural-network graphneuralnetwork mapping
Language:Dockerfile 36
Batch3DMOT
robot-learning-freiburg / Batch3DMOT
3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de
graphneuralnetwork 3d-mot tracking kitti nuscenes robotics centerpoint megvii graph-neural-networks computer-vision autonomous-driving self-driving-car labeling offline
Language:Python 33
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.
graphneuralnetwork cad machining-feature-recognition deep-learning pytorch-geometric
29
machine-reasoning-ufrgs / GNN-GCP
Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)
graphcoloring graphneuralnetwork
Language:Python 25
aimclub / ReDKG
Reinforcement learning on dynamic knowledge graphs
graph graphneuralnetwork knowledge-graph neural-network reinforcement-learning
Language:Python 23
gravins / dynamic_graph_benchmark
The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
benchmark dynamic-graphs graph-neural-networks graphneuralnetwork
Language:Python 22
josejimenezluna / molgrad
Supporting code for doi 10.1021/acs.jcim.0c01344
chemoinformatics deep-learning explainable-ai graphneuralnetwork
Language:Jupyter Notebook 22
cshjin / gnn_in_neurips_2019
A comprehensive collection of GNN works in NeurIPS 2019.
gnn graphneuralnetwork neurips-2019
21
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.
commute-times gnn graph graph-neural-networks graphneuralnetwork rewiring
Language:Jupyter Notebook 19
eqgat
Bayer-Group / eqgat
Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)
deeplearning graphneuralnetwork neural-network protein-structure
Language:Python 19
gravins / TG-ODE
Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
dynamic-graphs graph-neural-networks graphneuralnetwork ordinary-differential-equations temporal-graphs
Language:Python 18
ukaukaaaa / GazeGNN
Official Code for GazeGNN: A Gaze-guided Graph Neural Network for Chest X-ray Classification [WACV 2024]
chest-xrays chestxrayclassifier classification deep-learning diseaseclassification eye-tracking gaze-tracking graphneuralnetwork
Language:Python 16
WxxShirley / CIKM2023DiRec
Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
datamining gnn graphneuralnetwork
Language:Python 16
InferencePGMbyGNN
anvinhnguyendinh / InferencePGMbyGNN
A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
graph graphneuralnetwork inference probabilistic-graphical-models
Language:Python 14
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.
graphneuralnetwork gnn gcn sdne line chebyshev-filter laplacian-filter tensorflow2 keras-tensorflow semi
Language:Jupyter Notebook 13
martinakaduc / xNeuSM
Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks
attention attention-mechanism graph graphneuralnetwork isomophism multihop
Language:Python 13
LightMHC
instadeepai / LightMHC
LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks
alphafold2 graphneuralnetwork pmhc protein-structure
Language:Python 12

graphneuralnetwork

safe-graph / DGFraud

safe-graph / GNN-FakeNews

awslabs / graphstorm

INK-USC / KagNet

YingtongDou / CARE-GNN

octavian-ganea / equidock_public

safe-graph / DGFraud-TF2

HuantWang / FUNDED_NISL

zixi-liu / Fraud-Detection-Papers

nsidn98 / InforMARL

googlebaba / WWW2020-O2MAC

Namkyeong / BGRL_Pytorch

magnumical / GCN_for_EEG

vikasverma1077 / GraphMix

YukeWang96 / GNNAdvisor_OSDI21

armanihm / GDC

FilippoMB / Benchmark_dataset_for_graph_classification

YukeWang96 / MGG_OSDI23

Sai-Venky / Trackjectory

ecolab-nus / lisa

robot-learning-freiburg / Batch3DMOT

AndrewColligan / CADNet

machine-reasoning-ufrgs / GNN-GCP

aimclub / ReDKG

gravins / dynamic_graph_benchmark

josejimenezluna / molgrad

cshjin / gnn_in_neurips_2019

AdrianArnaiz / DiffWire

Bayer-Group / eqgat

gravins / TG-ODE

ukaukaaaa / GazeGNN

WxxShirley / CIKM2023DiRec

anvinhnguyendinh / InferencePGMbyGNN

abhilash1910 / Deep-Graph-Learning

martinakaduc / xNeuSM

instadeepai / LightMHC