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64 search results found

Gnnpapers ⭐ 15,156

Must-read papers on graph neural networks (GNN)

Tflearn ⭐ 9,602

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

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

Yolov3 Tf2 ⭐ 2,501

YoloV3 Implemented in Tensorflow 2.0

Spektral ⭐ 2,317

Graph Neural Networks with Keras and Tensorflow 2.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Spago ⭐ 1,691

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

Pygat ⭐ 1,684

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

Jraph ⭐ 1,141

A Graph Neural Network Library in Jax

Cnn_graph ⭐ 991

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Neural Structured Learning ⭐ 972

Training neural models with structured signals.

Tf Gnn Samples ⭐ 848

TensorFlow implementations of Graph Neural Networks

Graph Based Nn ⭐ 730

Graph Convolutional Networks (GCNs)

Must Read Papers And Continuous Tracking On Graph Neural Network Gnn Progress ⭐ 699

Papers on Graph neural network(GNN)

Clustergcn ⭐ 691

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

Dgl Lifesci ⭐ 558

Python package for graph neural networks in chemistry and biology

Typedb Ml ⭐ 550

TypeDB-ML is the Machine Learning integrations library for TypeDB

Onnx Go ⭐ 547

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

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

Machine learning algorithms for many-body quantum systems

Hello_tf_c_api ⭐ 436

Neural Network TensorFlow C API

Gnn Comparison ⭐ 354

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

Graphinvent ⭐ 312

Graph neural networks for molecular design.

Ggnn.pytorch ⭐ 302

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

Graph Reading Group ⭐ 273

Weekly reading group on Graphs at Mila

Lanczosnetwork ⭐ 271

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

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

Gcn_tutorial ⭐ 254

A tutorial on Graph Convolutional Neural Networks

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

Position-aware Graph Neural Networks

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).

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Interactive Notation for Computational Graphs

Zincbase ⭐ 226

A batteries-included kit for knowledge graphs

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

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

Spectral Clustering With Graph Neural Networks For Graph Pooling ⭐ 196

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

Nnproject_deepmask ⭐ 188

Deep Neural Network for object segmentation.

Nettack ⭐ 187

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

Backprop ⭐ 180

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Multi-Graph Convolutional Neural Networks

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

Graph Neural Networks Roadmap ⭐ 160

Gnn_note ⭐ 158

图神经网络整理

Tensorflow Cheatsheet ⭐ 143

My personal reference for Tensorflow

3dgnn_pytorch ⭐ 142

3D Graph Neural Networks for RGBD Semantic Segmentation

Gcn_metric_learning ⭐ 140

Metric Learning with Graph Convolutional Neural Networks

Graphrec_pytorch ⭐ 137

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

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

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

Graph Neural Networks ⭐ 130

Library to implement graph neural networks in PyTorch

Graph Convolution On Structured Documents ⭐ 121

This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

Diff2vec ⭐ 116

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Graph2nn ⭐ 115

code for paper "Graph Structure of Neural Networks"

Treernn ⭐ 106

Recurrent Neural Networks with tree structure in Tensorflow

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

A graph-based deep learning framework for life science

Pprgo_pytorch ⭐ 103

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

Graph Networks ⭐ 101

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Pytorch Graphsage ⭐ 97

Representation learning on large graphs using stochastic graph convolutions.

Official implementation of our FLAG paper (CVPR2022)

Gcnn_keras ⭐ 94

Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

Ntds_2016 ⭐ 91

Material for the EPFL master course "A Network Tour of Data Science", edition 2016.

Neuralogic ⭐ 84

Deep relational learning through differentiable logic programming.

Cnn Graph Classification ⭐ 79

A convolutional neural network for graph classification in PyTorch

Graphnormalization ⭐ 78

Learning Graph Normalization for Graph Neural Networks

ECML 2019: Graph Neural Networks for Multi-Label Classification

Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

En Fa Cs Dictionary ⭐ 75

💬 An English-Persian Dictionary of Computer Science and Artificial Intelligence

Crystal Graph Neural Networks

MAGNet: Multi-agents control using Graph Neural Networks

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Tensorflow implementation of Capsule Graph Neural Network

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

Gnn_community ⭐ 66

Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li

AAAI'21: Data Augmentation for Graph Neural Networks

Bottleneck ⭐ 65

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

Chainer Graph Cnn ⭐ 65

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

Embedding Projection for Knowledge Graph Completion

Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)

MatDGL is a neural network package that allows researchers to train custom models for crystal modeling tasks. It aims to accelerate the research and application of material science.

Ai Study ⭐ 63

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

Graph_2d_cnn ⭐ 59

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'

[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"

Awesome Distribution Shift ⭐ 57

A curated list of papers and resources about the distribution shift in machine learning.

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

Embedded_gcnn ⭐ 54

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Protein Interaction Network ⭐ 53

Computes a molecular graph for protein structures.

scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

Gnn_pathplanning ⭐ 52

Graph Neural Networks for Decentralized Path Planning

Gpscvuldetector ⭐ 52

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE 2021 Accepted)

Causing: CAUsal INterpretation using Graphs

Winter2021_cs249_gnn ⭐ 50

Collection of graph neural networks in pytorch

Handling Information Loss of Graph Neural Networks for Session-based Recommendation

Ggnn For Babi Dataset.pytorch.1.0 ⭐ 48

A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)

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