There are 63 repositories under graph-convolutional-networks topic.
Graph Neural Network Library for PyTorch
A collection of important graph embedding, classification and representation learning papers with implementations.
links to conference publications in graph-based deep learning
StellarGraph - Machine Learning on Graphs
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Graph Convolutional Networks for Text Classification. AAAI 2019
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
đźź A study guide to learn about Graph Neural Networks (GNNs)
A pytorch adversarial library for attack and defense methods on images and graphs
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
A list of recent papers about Graph Neural Network methods applied in NLP areas.
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A Deep Graph-based Toolbox for Fraud Detection
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Code and resources on scalable and efficient Graph Neural Networks
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
Graph convolutional neural network for multirelational link prediction
Traffic Graph Convolutional Recurrent Neural Network
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.