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Search results for pytorch graph

226 search results found

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

Pytorch Biggraph ⭐ 3,326

Generate embeddings from large-scale graph-structured data.

Pygcn ⭐ 2,952

Graph Convolutional Networks in PyTorch

Pytorchviz ⭐ 2,782

A small package to create visualizations of PyTorch execution graphs

Pytorch_geometric_temporal ⭐ 2,386

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

Awesome Network Embedding ⭐ 2,218

A curated list of network embedding techniques.

Hiddenlayer ⭐ 1,750

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

Pygat ⭐ 1,684

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Graph Learn ⭐ 1,239

An Industrial Graph Neural Network Framework

Capsgnn ⭐ 1,180

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

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Graphein ⭐ 932

Protein Graph Library

Deeprobust ⭐ 904

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

Graph_nets ⭐ 769

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Pytorch_cluster ⭐ 700

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Graph_transformer_networks ⭐ 694

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Clustergcn ⭐ 691

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

Gnns For Nlp ⭐ 619

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

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

Compgcn ⭐ 519

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

Deepsnap ⭐ 502

Python library assists deep learning on graphs

Graphwaveletneuralnetwork ⭐ 501

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

2s Agcn ⭐ 451

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

Graphgallery ⭐ 440

GraphGallery is a gallery for benchmarking Graph Neural Networks.

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

Graph Transformer ⭐ 408

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

Mixhop And N Gcn ⭐ 389

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Awesome Gcn ⭐ 377

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

Torchkge ⭐ 361

TorchKGE: Knowledge Graph embedding in Python and PyTorch.

Neural Motifs ⭐ 348

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

Sagpool ⭐ 338

Official PyTorch Implementation of SAGPool - ICML 2019

Machine Learning Is All You Need ⭐ 337

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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

Graphstorm ⭐ 306

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

A PyTorch Graph Neural Network Library

Ggnn.pytorch ⭐ 302

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

Attentionwalk ⭐ 299

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

Pykg2vec ⭐ 294

Python library for knowledge graph embedding and representation learning.

Xshinnosuke ⭐ 282

Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration

Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)

Lanczosnetwork ⭐ 271

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

Blackbox Backprop ⭐ 262

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Pytorch_graph Rel ⭐ 255

A PyTorch implementation of GraphRel

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

Knowledge_representation_pytorch ⭐ 245

Several knowledge graph representation algorithms implemented with pytorch

Graph_nn ⭐ 244

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

Traffic_prediction ⭐ 237

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Multigraph_transformer ⭐ 232

accepted by IEEE TNNLS, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"

Graphnn ⭐ 224

Training computational graph on top of structured data (string, graph, etc)

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"

A research library for automating experiments on Deep Graph Networks

Tokengt ⭐ 209

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

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

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)

A python library that makes AMR parsing, generation and visualization simple.

Hierarchical Graph Pooling with Structure Learning

Pytorch_dgcnn ⭐ 187

PyTorch implementation of DGCNN

Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling

Pychain ⭐ 180

PyTorch implementation of LF-MMI for End-to-end ASR

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

Seal_ogb ⭐ 178

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Deep Graph Matching Consensus ⭐ 170

Implementation of "Deep Graph Matching Consensus" in PyTorch

Gammagl ⭐ 165

A multi-backend graph learning library.

Graph_attention_pool ⭐ 161

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

Role2vec ⭐ 157

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

Graph Convnet Tsp ⭐ 157

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

Convnet Aig ⭐ 147

PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs

3dgnn_pytorch ⭐ 142

3D Graph Neural Networks for RGBD Semantic Segmentation

Deepergnn ⭐ 138

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

Graphrec_pytorch ⭐ 137

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

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

Torchmtl ⭐ 131

A lightweight module for Multi-Task Learning in pytorch.

Graphrec Www19 ⭐ 131

Graph Neural Networks for Social Recommendation, WWW'19

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

Vqa_regat ⭐ 130

Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

Bigraphgan ⭐ 122

[BMVC 2020 Oral] Bipartite Graph Reasoning GANs for Person Image Generation

Pruning_filters_for_efficient_convnets ⭐ 121

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Recsys Nlp Graph ⭐ 115

🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.

Text_gcn.pytorch ⭐ 111

PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."

Occlusion_net ⭐ 106

Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks

Vgae_pytorch ⭐ 105

This repository implements variational graph auto encoder by Thomas Kipf.

Pprgo_pytorch ⭐ 103

PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)

Lr Gccf ⭐ 103

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

A Computation Graph Virtual Machine based ML Framework

Deepsphere Pytorch ⭐ 102

DeepSphere: a graph-based spherical CNN (PyTorch)

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

How_attentive_are_gats ⭐ 100

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

Pytorch Agnn ⭐ 94

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

Gpa Detection ⭐ 93

Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral).

Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

AMR Parsing as Sequence-to-Graph Transduction

Gae Pytorch ⭐ 87

Graph Auto-Encoder in PyTorch

Spatial_graph_convnets ⭐ 87

PyTorch implementation of residual gated graph ConvNets, ICLR’18

Pytorch2c ⭐ 86

A Python module for compiling PyTorch graphs to C

Pytorch Onnx Tensorflow Pb ⭐ 82

Converting A PyTorch Model to Tensorflow pb using ONNX

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