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12 search results found

Graph Based Deep Learning Literature ⭐ 4,418

links to conference publications in graph-based deep learning

Clustergcn ⭐ 691

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

Chainer Chemistry ⭐ 609

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

Typedb Ml ⭐ 550

TypeDB-ML is the Machine Learning integrations library for TypeDB

Lanczosnetwork ⭐ 271

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

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

Diffnet ⭐ 143

Graph Neural Network based Social Recommendation Model. SIGIR2019.

A graph-based deep learning framework for life science

Pytorch Graphsage ⭐ 97

Representation learning on large graphs using stochastic graph convolutions.

Graph Neural Network Course ⭐ 89

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

Crystal Graph Neural Networks

Gossipnet ⭐ 74

Non-maximum suppression for object detection in a neural network

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

Chainer Graph Cnn ⭐ 65

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

Bayesgrad ⭐ 48

BayesGrad: Explaining Predictions of Graph Convolutional Networks

Graph Nvp ⭐ 44

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Dynamic Gcnn ⭐ 32

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

Variational Graph Recurrent Neural Networks - PyTorch

Textcategorization ⭐ 23

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

Graph Cnn.mxnet ⭐ 20

MXNet implementation of Graph Convolutional Neural Networks

Chromegcn ⭐ 16

Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification

Understandinggcns ⭐ 10

The code, citation & note companion to the AICamp Webinar "Understanding Graph Convolutional Networks" hosted on September 7th, 2021.

Facilitating learning, using, and designing graph processing pipelines/models systematically.

Treewidth Prediction ⭐ 8

Prediction of Treewidth using Graph Neural Network, developed as part of PFN summer internship 2019.

Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

Awesome Graph Learning Papers ⭐ 7

A curated list of graph learning papers, articles, tutorials, slides and projects

Nlp Semantic Role Labeling ⭐ 7

NLP - Semantic Role Labeling using GCN, Bert and Biaffine Attention Layer. Developed in Pytorch

Higher Order Graph Convolutional Neural Network ⭐ 6

A Tensorflow implementation of a higher order graph convolutional neural network

Graph Convolutional Neural Networks for Theano

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