Projects in Awesome Lists tagged with graphneuralnetwork
A curated list of projects in awesome lists tagged with graphneuralnetwork .
https://github.com/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
Last synced: 04 Apr 2025
https://github.com/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
Last synced: 01 Apr 2025
https://github.com/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
Last synced: 10 Sep 2025
https://github.com/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
Last synced: 21 Jul 2025
https://github.com/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
Last synced: 09 Apr 2025
https://github.com/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
Last synced: 11 May 2025
https://github.com/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
Last synced: 03 Apr 2025
https://github.com/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
Last synced: 27 Apr 2025
https://github.com/HuantWang/FUNDED_NISL
FUNDED is a novel learning framework for building vulnerability detection models.
datacollection graphneuralnetwork machine-learning vulnerability-detection
Last synced: 07 May 2025
https://github.com/vikasverma1077/GraphMix
Code for reproducing results in GraphMix paper
gcn gnn graphneuralnetwork regularizer semisupervised-learning
Last synced: 15 Aug 2025
https://github.com/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
Last synced: 15 Jul 2025
https://github.com/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
Last synced: 28 Sep 2025
https://github.com/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
Last synced: 03 Jul 2025
https://github.com/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
Last synced: 07 Sep 2025
https://github.com/wxxshirley/cikm2023direc
Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
datamining gnn graphneuralnetwork
Last synced: 15 Oct 2025
https://github.com/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.
chebyshev-filter gcn gnn graphneuralnetwork keras-tensorflow laplacian-filter line sdne semi tensorflow2
Last synced: 18 Oct 2025
https://github.com/instadeepai/lightmhc
LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks
alphafold2 graphneuralnetwork pmhc protein-structure
Last synced: 03 Nov 2025
https://github.com/gravins/anti-symmetricdgn
Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks"; and "Non-Dissipative Propagation by Randomized Anti-Symmetric Deep Graph Networks"
deep-graph-networks deep-learning graph-neural-networks graphneuralnetwork ordinary-differential-equations
Last synced: 15 Apr 2025
https://github.com/martinakaduc/xneusm
Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks
attention attention-mechanism graph graphneuralnetwork isomophism multihop
Last synced: 19 Jan 2026
https://github.com/claudmor/gravity_gae_torch_geometric
Pytorch Geometric implementation of the "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" paper.
autoencoder deep-learning gnn-algorithm gnn-model gnns graphneuralnetwork machine-learning statistics
Last synced: 27 Jul 2025
https://github.com/dsantra92/e3nn.jl
E(3)-equivariant graph neural networks (e3nn) for Julia
Last synced: 30 Apr 2025
https://github.com/gravins/non-dissipative-propagation-ctdgs
Official reference implementation of our paper "Long Range Propagation on Continuous-Time Dynamic Graphs" accepted at ICML24 and "Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs" accepted at Temporal Graph Learning Workshop @ NeurIPS 2023
dynamic-graphs graph-neural-networks graphneuralnetwork ordinary-differential-equations
Last synced: 15 Apr 2025
https://github.com/laurencee9/structural_pertubation_detection
Official torch geometric code for the paper Detecting structural perturbations from time series with deep learning
anomaly-detection complexnetworks deep-learning graph graphneuralnetwork
Last synced: 08 Sep 2025
https://github.com/gravins/covid19-drug-repurposing-with-dgns
Official code repository for " Deep Graph Networks for Drug Repurposing with Multi-Protein Targets".
covid19 drug-repurposing graph-neural-networks graphneuralnetwork
Last synced: 05 Mar 2026
https://github.com/machinelearningzuu/ai-universe
In this repo I'm gonna implement any AI/ML/DL/RL/NLP/CV/GNN project I found 😇 anywhere. please provide if you have any new project ideas
artificial-intelligence computer-vision deep-learning gans graphneuralnetwork machine-learning natural-language-processing pytorch reinforcement-learning tensorflow
Last synced: 29 Apr 2026
https://github.com/machinelearningzuu/machine-learning-with-graphs
This Project Repository Contains the Coding Implementations Related to Graph Based Machine Learning & Deep Learning
deep-learning graphneuralnetwork graphs machine-learning mathematics pytorch pytorch-geometric
Last synced: 16 Apr 2026