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221 search results found

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

Tflearn ⭐ 9,602

Deep learning library featuring a higher-level API for TensorFlow.

Darkflow ⭐ 6,131

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Smile ⭐ 5,833

Statistical Machine Intelligence & Learning Engine

Graph_nets ⭐ 5,284

Build Graph Nets in Tensorflow

Graph_nets ⭐ 5,188

Build Graph Nets in Tensorflow

Graph Based Deep Learning Literature ⭐ 4,418

links to conference publications in graph-based deep learning

Euler ⭐ 2,846

A distributed graph deep learning framework.

Stellargraph ⭐ 2,768

StellarGraph - Machine Learning on Graphs

Yolov3 Tf2 ⭐ 2,501

YoloV3 Implemented in Tensorflow 2.0

Literaturedl4graph ⭐ 2,456

A comprehensive collection of recent papers on graph deep learning

Luminoth ⭐ 2,395

Deep Learning toolkit for Computer Vision.

Pytorch_geometric_temporal ⭐ 2,386

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

Spektral ⭐ 2,317

Graph Neural Networks with Keras and Tensorflow 2.

Tensorflow Onnx ⭐ 2,133

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Deepframeworks ⭐ 2,077

Evaluation of Deep Learning Frameworks

Benchmark datasets, data loaders, and evaluators for graph machine learning

Awesome Explainable Graph Reasoning ⭐ 1,805

A collection of research papers and software related to explainability in graph machine learning.

Hiddenlayer ⭐ 1,750

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

Graphormer ⭐ 1,749

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Spago ⭐ 1,691

Self-contained Machine Learning and Natural Language Processing library in Go

Awesome Self Supervised Gnn ⭐ 1,356

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Capsgnn ⭐ 1,180

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

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Jraph ⭐ 1,141

A Graph Neural Network Library in Jax

Awesome Fl ⭐ 1,103

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Text_gcn ⭐ 1,008

Graph Convolutional Networks for Text Classification. AAAI 2019

Cnn_graph ⭐ 991

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Deep Finance ⭐ 942

Datasets, papers and books on AI & Finance.

Graphein ⭐ 932

Protein Graph Library

Deeprobust ⭐ 904

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

Gnns Recipe ⭐ 791

🟠 A study guide to learn about Graph Neural Networks (GNNs)

Graph Adversarial Learning Literature ⭐ 772

A curated list of adversarial attacks and defenses papers on graph-structured data.

Powerful Gnns ⭐ 762

How Powerful are Graph Neural Networks?

TGN: Temporal Graph Networks

Clustergcn ⭐ 691

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

Littleballoffur ⭐ 651

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Gnns For Nlp ⭐ 619

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

Node Tensorflow ⭐ 579

Node.js + TensorFlow

Dgl Lifesci ⭐ 558

Python package for graph neural networks in chemistry and biology

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

The Tensor Algebra SuperOptimizer for Deep Learning

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)

Machine learning algorithms for many-body quantum systems

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Hello_tf_c_api ⭐ 436

Neural Network TensorFlow C API

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

Awesome Deep Community Detection ⭐ 397

Deep and conventional community detection related papers, implementations, datasets, and tools.

Mixhop And N Gcn ⭐ 389

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

Www20 Hands On Tutorial ⭐ 377

Materials for DGL hands-on tutorial in WWW 2020

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

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

Graph Wavenet ⭐ 313

Virtualhome ⭐ 311

API to run VirtualHome, a Multi-Agent Household Simulator

A PyTorch Graph Neural Network Library

Ai Surveys ⭐ 305

整理AI相关领域的一些综述

Keras Gat ⭐ 301

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

Sparkflow ⭐ 301

Easy to use library to bring Tensorflow on Apache Spark

Awesome Self Supervised Learning For Graphs ⭐ 300

A curated list for awesome self-supervised learning for graphs.

Attentionwalk ⭐ 299

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

Hddeeplearningstudy ⭐ 290

Code etc for Hacker Dojo Deep Learning Study Group

Xshinnosuke ⭐ 282

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

Awesome Deep Gnn ⭐ 264

Papers about developing deep Graph Neural Networks (GNNs)

Python binding of SLAM graph optimization framework g2o

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

Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493

Interactive Notation for Computational Graphs

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).

Awesome Deep Graph Anomaly Detection ⭐ 215

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

Ngraph Python ⭐ 214

Original Python version of Intel® Nervana™ Graph

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

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).

Paper List ⭐ 201

A reading paper list which is mainted daily

Seal Ci ⭐ 201

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

Contrastive_learning_papers ⭐ 189

A list of contrastive Learning papers

Nnproject_deepmask ⭐ 188

Deep Neural Network for object segmentation.

Nettack ⭐ 187

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Graphneuralnetworks.jl ⭐ 181

Graph Neural Networks in Julia

Backprop ⭐ 180

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Representation Learning On Heterogeneous Graph ⭐ 178

Representation-Learning-on-Heterogeneous-Graph

Literatures On Gnn Acceleration ⭐ 173

A reading list for deep graph learning acceleration.

Deep Graph Matching Consensus ⭐ 170

Implementation of "Deep Graph Matching Consensus" in PyTorch

Graph Representation Learning ⭐ 168

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Graph deep learning library for materials

Gammagl ⭐ 165

A multi-backend graph learning library.

Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.

Graph2gauss ⭐ 160

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

Graph Convnet Tsp ⭐ 157

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

Role2vec ⭐ 157

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

Dl4moleculargraph ⭐ 146

Literature of deep learning for graphs in Chemistry and Biology

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

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

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

Torchmtl ⭐ 131

A lightweight module for Multi-Task Learning in pytorch.

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1-100 of 221 search results

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