pytorch-geometric

There are 205 repositories under pytorch-geometric topic.

  • THUMNLab/AutoGL

    An autoML framework & toolkit for machine learning on graphs.

    Language:Python1.1k2939120
  • graphein

    a-r-j/graphein

    Protein Graph Library

    Language:Jupyter Notebook1.1k17158133

  • 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 Notebook4939946

  • mlabonne/graph-neural-network-course

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

    Language:Jupyter Notebook3476171

  • lukecavabarrett/pna

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

    Language:Python34641354

  • qitianwu/NodeFormer

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

    Language:Jupyter Notebook30232131

  • qitianwu/DIFFormer

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

    Language:Python29671532

  • bknyaz/graph_attention_pool

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

    Language:Jupyter Notebook2847548
  • SGCN

    benedekrozemberczki/SGCN

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

    Language:Python27410757

  • yuyangw/MolCLR

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

    Language:Python27212964

  • 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:Python22893725

  • divelab/GOOD

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

    Language:Python19222719

  • chaitjo/geometric-rna-design

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

    Language:Jupyter Notebook18611819

  • 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:Python16731931

  • rusty1s/pyg_autoscale

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

    Language:Python16433027

  • XiaShan1227/GNN-Tutorial

    B站GNN教程资料

    Language:Jupyter Notebook1401017

  • 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:Python1366417

  • BorgwardtLab/TOGL

    Topological Graph Neural Networks (ICLR 2022)

    Language:Python12291822
  • hsn

    rubenwiersma/hsn

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

    Language:Python886216

  • EdisonLeeeee/GreatX

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

    Language:Python858613

  • 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 Notebook821218

  • qitianwu/GraphOOD-GNNSafe

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

    Language:Python80355

  • arangoml/fastgraphml

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

    Language:Python685158

  • SRA2/SPELL

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

    Language:Python652149
  • DeepPBS

    timkartar/DeepPBS

    Geometric deep learning of protein–DNA binding specificity

    Language:Python644176

  • leson502/CORECT_EMNLP2023

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

    Language:Python631511
  • spatiotemporal_datasets

    benedekrozemberczki/spatiotemporal_datasets

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

    60326

  • IntelLabs/GraVi-T

    Graph learning framework for long-term video understanding

    Language:Python60349

  • tk-rusch/GraphCON

    GraphCON (ICML 2022)

    Language:Python59349

  • gospodima/Extended-SimGNN

    A PyTorch Geometric implementation of SimGNN with some extensions.

    Language:Python5841014

  • mlvlab/SELAR

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

    Language:Python543611

  • tk-rusch/gradientgating

    Gradient gating (ICLR 2023)

    Language:Python53274

  • sisaman/GAP

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

    Language:Jupyter Notebook471912

  • balcilar/gnn-spectral-expressive-power

    Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021

    Language:Python46134

  • sisaman/LPGNN

    Locally Private Graph Neural Networks (ACM CCS 2021)

    Language:Jupyter Notebook453316
  • pytorch-gnn-research

    youyoungjang/pytorch-gnn-research

    Various Applications and Descriptions of GNN with Pytorch, Pytorch Geometric.

    Language:Jupyter Notebook35306