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The Wayback Machine - https://web.archive.org/web/20200711233250/https://github.com/topics/gcn
Here are
129 public repositories
matching this topic...
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Updated
Jun 23, 2020
Jupyter Notebook
A distributed graph deep learning framework.
A Playstation 4 emulator just begin
A general purpose community detection and network embedding library for research built on NetworkX.
Updated
Jul 7, 2020
Python
Updated
Jul 9, 2020
Python
Updated
Jul 13, 2019
Python
resources for graph convolutional networks (图卷积神经网络相关资源)
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Updated
May 31, 2020
Python
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
Updated
May 25, 2020
Python
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Updated
May 31, 2020
Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Updated
May 31, 2020
Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
May 31, 2020
Python
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Updated
Jan 28, 2020
Python
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Updated
May 13, 2020
Jupyter Notebook
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
Updated
Jun 14, 2019
Jupyter Notebook
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
May 31, 2020
Python
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
May 31, 2020
Python
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
Updated
Sep 19, 2018
Python
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Updated
Jun 16, 2020
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
May 31, 2020
Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Updated
May 31, 2020
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Updated
Apr 24, 2020
Jupyter Notebook
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Updated
Jun 9, 2020
Python
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Updated
Jul 7, 2020
Python
A Save Editor for the Animal Crossing main series games written in C#
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Updated
May 31, 2020
Python
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Updated
Sep 8, 2019
Python
图卷积神经网络 Graph Convolutional Network with Keras
Updated
Jun 26, 2020
Python
Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
Updated
Jun 27, 2019
Python
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