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gnn

Here are 352 public repositories matching this topic...

pytorch_geometric_temporal

benedekrozemberczki / pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

deep-learning network-science pytorch temporal-networks spatial-analysis spatial-data spatiotemporal network-embedding spatio-temporal-analysis graph-convolutional-networks gcn spatio-temporal-data temporal-data graph-embedding graph-neural-networks node-embedding graph-convolution gnn temporal-graphs

Updated Oct 14, 2024
Python

CapsGNN

benedekrozemberczki / CapsGNN

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

machine-learning research deep-learning tensorflow sklearn pytorch deepwalk convolution node2vec graph-classification capsule-network graph-attention-networks capsule-neural-networks graph-attention-model struc2vec graph-convolution gnn graph-neural-network capsgnn

Updated Mar 18, 2023
Python

shenweichen / GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

gcn graphsage gat graph-attention gnn

Updated Jan 11, 2023
Python

tensorflow / gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

machine-learning deep-learning tensorflow gnn

Updated Oct 25, 2024
Python

SimGNN

benedekrozemberczki / SimGNN

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Updated Jan 12, 2023
Python

hazdzz / STGCN

The PyTorch implementation of STGCN.

pytorch gcn tcn gnn road-traffic-prediction

Updated Aug 30, 2024
Python

ML4ITS / mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

deep-learning time-series pytorch attention anomaly-detection graph-attention-networks graph-neural-networks 2021 gnn mtad-gat

Updated Jan 16, 2024
Python

kyzhouhzau / NLPGNN

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

Updated Aug 14, 2024
Python

chaitjo / efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks

knowledge-distillation graph-convolutional-networks graph-neural-networks graph-representation-learning scalable-deep-learning gnn efficient-neural-networks contrastive-learning efficient-deep-learning

Updated Feb 4, 2023
Python

NYUMedML / GNN_for_EHR

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

deep-learning pytorch ehr electronic-health-records alzheimer-disease-prediction graph-neural-networks disease-prediction gnn

Updated Sep 13, 2024
Python

Lin-Yijie / Graph-Matching-Networks

PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).

deep-learning pytorch graph-neural-networks gnn

Updated Oct 9, 2024
Python

jw9730 / tokengt

[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch

graph pytorch transformer hypergraph self-attention gnn equivariance

Updated Apr 11, 2023
Python

huawei-noah / BGCN

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

gcn bayesian-neural-networks graph-convolutional-network graph-learning graph-neural-networks graph-convolutional-neural-networks gnn bayesian-graph-neural-networks

Updated Sep 8, 2019
Python

PeiJieSun / diffnet

Graph Neural Network based Social Recommendation Model. SIGIR2019.

neural-network recommendation social-recommendation gcn graph-convolutional-network gnn graph-neural-network sigir2019 neural-graph neural-network-graph neural-graph-recommendation

Updated Jun 2, 2024
Python

SEAL-CI

benedekrozemberczki / SEAL-CI

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

deep-learning tensorflow machine-learning-algorithms pytorch deepwalk deep-learning-algorithms network-embedding active-learning graph-convolutional-networks gcn node2vec graph-embedding graph-classification active-learning-module node-classification graph-neural-networks graph-representation-learning graph-convolution gnn graph-neural-network

Updated Nov 6, 2022
Python

microsoft / ptgnn

A PyTorch Graph Neural Network Library

deep-learning pytorch geometric-deep-learning graph-neural-networks gnn

Updated Feb 1, 2022
Python

THUDM / GRAND

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

graphs semi-supervised-learning data-augmentation graph-neural-networks gnn neurips-2020

Updated Jul 6, 2023
Python

gnn-lspe

vijaydwivedi75 / gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

graphs transformers attention representation-learning molecules message-passing lspe geometric-deep-learning graph-neural-networks graph-representation-learning gnn graph-deep-learning positional-encoding graph-transformer transformer-networks gnn-lspe

Updated Feb 10, 2022
Python

HannesStark / 3DInfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

graph molecules 3d graph-neural-networks self-supervised-learning graph-representation-learning pytorch-geometric gnn dgl-graph

Updated Oct 8, 2023
Python

TUM-DAML / gemnet_pytorch

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

paper pytorch graph-neural-networks gnn

Updated Apr 26, 2023
Python

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