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Search results for pytorch graph neural networks

graph-neural-networks x

197 search results found

Pytorch_geometric ⭐ 20,093

Graph Neural Network Library for PyTorch

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Pytorch_geometric_temporal ⭐ 2,386

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

Benchmarking Gnns ⭐ 2,196

Repository for benchmarking graph neural networks

Cogdl ⭐ 1,671

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Graph4nlp ⭐ 1,533

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Torchdrug ⭐ 1,297

A powerful and flexible machine learning platform for drug discovery

Graph Learn ⭐ 1,239

An Industrial Graph Neural Network Framework

Capsgnn ⭐ 1,180

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

Pygod ⭐ 1,138

A Python Library for Graph Outlier Detection (Anomaly Detection)

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Deep_gcns_torch ⭐ 940

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

Graphein ⭐ 932

Protein Graph Library

Deeprobust ⭐ 904

A pytorch adversarial library for attack and defense methods on images and graphs

Openhgnn ⭐ 737

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Pytorch_cluster ⭐ 700

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Clustergcn ⭐ 691

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Chemicalx ⭐ 657

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Deepsnap ⭐ 502

Python library assists deep learning on graphs

Graphwaveletneuralnetwork ⭐ 501

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

Graphgallery ⭐ 440

GraphGallery is a gallery for benchmarking Graph Neural Networks.

Graph Transformer ⭐ 408

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

Deephypergraph ⭐ 404

A pytorch library for graph and hypergraph computation.

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Awesome Gcn ⭐ 377

resources for graph convolutional networks （图卷积神经网络相关资源）

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Geometric Gnn Dojo ⭐ 307

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

Graphstorm ⭐ 306

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

A PyTorch Graph Neural Network Library

Attentionwalk ⭐ 299

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Mot_neural_solver ⭐ 295

Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

Lanczosnetwork ⭐ 271

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

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

Mtad Gat Pytorch ⭐ 265

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).

Pyneuralogic ⭐ 261

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

Torch Quiver ⭐ 256

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

Graphmae ⭐ 253

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

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

Nodeformer ⭐ 244

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

Person Reid 3d ⭐ 243

TNNLS'22 🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽

Graph Matching Networks ⭐ 223

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

Pro Gnn ⭐ 213

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Graph Neural Pde ⭐ 212

Graph Neural PDEs

Histocartography ⭐ 207

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

Difformer ⭐ 204

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

Splitter ⭐ 203

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Seal Ci ⭐ 201

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

Hierarchical Graph Pooling with Structure Learning

Machinelearning Ai ⭐ 184

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

tsl: a PyTorch library for processing spatiotemporal data.

Deep Graph Matching Consensus ⭐ 170

Implementation of "Deep Graph Matching Consensus" in PyTorch

Graph_attention_pool ⭐ 161

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

Pytorch_spline_conv ⭐ 160

Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch

Graph Convnet Tsp ⭐ 157

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

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

Role2vec ⭐ 157

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Recstudio ⭐ 153

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Gcn With Bert ⭐ 140

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

Graph_weather ⭐ 139

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

Deepergnn ⭐ 138

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Rec_pangu ⭐ 138

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

Graphrec_pytorch ⭐ 137

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

Pyg Lib ⭐ 137

Low-Level Graph Neural Network Operators for PyG

Gnnlens2 ⭐ 136

Visualization tool for Graph Neural Networks

Gemnet_pytorch ⭐ 136

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

Braingb ⭐ 131

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

Gflownet ⭐ 127

GFlowNet library specialized for graph & molecular data

Pyg_autoscale ⭐ 127

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

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

Fusilli ⭐ 120

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

Openglue ⭐ 118

Open Source Graph Neural Net Based Pipeline for Image Matching

Knowledge_graph_based_intent_network ⭐ 114

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

Code for Knowledge-Embedded Routing Network for Scene Graph Generation (CVPR 2019)

Knowledge Aware Reader ⭐ 104

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

Lr Gccf ⭐ 103

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Gnn_for_ehr ⭐ 103

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

Deepsphere Pytorch ⭐ 102

DeepSphere: a graph-based spherical CNN (PyTorch)

How_attentive_are_gats ⭐ 100

Code for the paper "How Attentive are Graph Attention Networks?"

Graphlearn For Pytorch ⭐ 96

A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

Me Graphau ⭐ 93

[IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code

Graph Neural Network Course ⭐ 89

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

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

Kgcn Pytorch ⭐ 84

KGCN pytorch model implementation

This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022

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

Graphnet ⭐ 75

Graph neural networks for neutrino telescope event reconstruction

Crystal Graph Neural Networks

Implementation of "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyTorch Geometric

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

Gnn_few_shot_cifar100 ⭐ 68

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

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