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The Top 23 Jupyter Notebook Graph Convolutional Networks Open Source Projects

Open source projects categorized as Jupyter Notebook Graph Convolutional Networks
Categories > Graph Convolutional Networks
Categories > Data Processing > Jupyter Notebook
Graph Based Deep Learning Literature ⭐ 4,418
links to conference publications in graph-based deep learning
most recent commit 5 months ago
Graph_nets ⭐ 769
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
most recent commit 2 years ago
Gcn_clustering ⭐ 314
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
most recent commit 2 years ago
Graph_nn ⭐ 244
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
most recent commit 4 years ago
Graph Neural Pde ⭐ 212
Graph Neural PDEs
most recent commit 2 years ago
Graph Convolution Nlp ⭐ 200
Graph Convolution Network for NLP
most recent commit 4 years ago
Graph_convolutional_lstm ⭐ 140
Traffic Graph Convolutional Recurrent Neural Network
most recent commit 4 years ago
Graph Neural Network Course ⭐ 89
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
most recent commit 8 months ago
Kgcn Pytorch ⭐ 84
KGCN pytorch model implementation
most recent commit a year ago
Graphtsne ⭐ 82
PyTorch Implementation of GraphTSNE, ICLR’19
most recent commit 5 years ago
Graphml Tutorials ⭐ 63
Tutorials for Machine Learning on Graphs
most recent commit 3 years ago
Bayesgrad ⭐ 48
BayesGrad: Explaining Predictions of Graph Convolutional Networks
most recent commit 5 years ago
Gdynet ⭐ 47
Unsupervised learning of atomic scale dynamics from molecular dynamics.
most recent commit 2 years ago
Optimisation Python ⭐ 18
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
most recent commit 3 months ago
Gcn Spp ⭐ 14
Shortest Path prediction using Graph Convolutional Networks
most recent commit 6 years ago
Understandinggcns ⭐ 10
The code, citation & note companion to the AICamp Webinar "Understanding Graph Convolutional Networks" hosted on September 7th, 2021.
most recent commit 3 years ago
Echographs ⭐ 10
[MICCAI 2022] The official repository of Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound. Project page: https://guybenyosef.github.io/EchoGraphs/
most recent commit 7 months ago
Graphzoo ⭐ 9
Facilitating learning, using, and designing graph processing pipelines/models systematically.
most recent commit 2 years ago
Treewidth Prediction ⭐ 8
Prediction of Treewidth using Graph Neural Network, developed as part of PFN summer internship 2019.
most recent commit 5 years ago
Twin Nphard ⭐ 8
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
most recent commit 3 months ago
Gnn Spacetimegraphs ⭐ 6
Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
most recent commit 3 years ago
E Graphsage ⭐ 5
A PyTorch implementation of of E-GraphSAGE.
most recent commit 2 years ago
Swahili Text Gcn ⭐ 5
Graph Convolutional Network for Swahili News Classification: https://arxiv.org/abs/2103.09325
most recent commit 3 years ago
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