pytorch-geometric

There are 245 repositories under pytorch-geometric topic.

  • graphein

    a-r-j/graphein

    Protein Graph Library

    Language:Jupyter Notebook1.1k18167139

  • THUMNLab/AutoGL

    An autoML framework & toolkit for machine learning on graphs.

    Language:Python1.1k2841120

  • chaitjo/geometric-gnn-dojo

    Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)

    Language:Jupyter Notebook5109949

  • mlabonne/graph-neural-network-course

    Free hands-on course about Graph Neural Networks using PyTorch Geometric.

    Language:Jupyter Notebook4096179
  • city2graph

    c2g-dev/city2graph

    Transform geospatial relations into graph representations designed for spatial network analysis and Graph Neural Networks (GNNs).

    Language:Python37836

  • lukecavabarrett/pna

    Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

    Language:Python35541353

  • qitianwu/NodeFormer

    The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

    Language:Jupyter Notebook31322131

  • qitianwu/DIFFormer

    The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

    Language:Python31151629

  • yuyangw/MolCLR

    Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.

    Language:Python30113273

  • bknyaz/graph_attention_pool

    Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

    Language:Jupyter Notebook2866548
  • SGCN

    benedekrozemberczki/SGCN

    A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

    Language:Python2768857

  • drprojects/DeepViewAgg

    [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

    Language:Python23493724

  • chaitjo/geometric-rna-design

    gRNAde: Geometric Deep Learning for 3D RNA inverse design (ICLR 2025 Spotlight)

    Language:Jupyter Notebook22011822

  • divelab/GOOD

    GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

    Language:Python20222822

  • XiaShan1227/GNN-Tutorial

    B站GNN教程资料

    Language:Jupyter Notebook1841021

  • HannesStark/3DInfomax

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

    Language:Python16931933

  • rusty1s/pyg_autoscale

    Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

    Language:Python16523027

  • SherylHYX/pytorch_geometric_signed_directed

    PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

    Language:Python1436420

  • BorgwardtLab/TOGL

    Topological Graph Neural Networks (ICLR 2022)

    Language:Python12491826

  • mukhlishga/gnn-powerflow

    Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology

    Language:Jupyter Notebook1051219

  • EdisonLeeeee/GreatX

    A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

    Language:Python888613
  • hsn

    rubenwiersma/hsn

    Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features

    Language:Python885216

  • qitianwu/GraphOOD-GNNSafe

    The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

    Language:Python83256
  • DeepPBS

    timkartar/DeepPBS

    Geometric deep learning of protein–DNA binding specificity

    Language:Python764217

  • arangoml/fastgraphml

    Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

    Language:Python685158

  • IntelLabs/GraVi-T

    Graph learning framework for long-term video understanding

    Language:Python68559

  • SRA2/SPELL

    Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection (ECCV 2022)

    Language:Python672149

  • gospodima/Extended-SimGNN

    A PyTorch Geometric implementation of SimGNN with some extensions.

    Language:Python6231014
  • spatiotemporal_datasets

    benedekrozemberczki/spatiotemporal_datasets

    Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

    60326

  • leson502/CORECT_EMNLP2023

    [EMNLP2023] Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction

    Language:Python601510

  • martinjurkovic/syntherela

    A package for benchmarking synthetic relational data generation methods

    Language:Python59221

  • tk-rusch/GraphCON

    GraphCON (ICML 2022)

    Language:Python59359

  • mlvlab/SELAR

    Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

    Language:Python553611

  • tk-rusch/gradientgating

    Gradient gating (ICLR 2023)

    Language:Python55274

  • sisaman/GAP

    GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

    Language:Jupyter Notebook491914

  • sisaman/LPGNN

    Locally Private Graph Neural Networks (ACM CCS 2021)

    Language:Jupyter Notebook492317