#计算机科学#Graph Neural Network Library for PyTorch
#计算机科学#links to conference publications in graph-based deep learning
A collection of important graph embedding, classification and representation learning papers with implementations.
#计算机科学#StellarGraph - Machine Learning on Graphs
#计算机科学#A distributed graph deep learning framework.
#计算机科学#PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
#计算机科学#A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
#自然语言处理#Graph Convolutional Networks for Text Classification. AAAI 2019
#计算机科学#🟠 A study guide to learn about Graph Neural Networks (GNNs)
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
#计算机科学#Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
#计算机科学#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)
#计算机科学#Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
#自然语言处理#A list of recent papers about Graph Neural Network methods applied in NLP areas.
#时序数据库#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/explanatio...
#计算机科学#A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
#计算机科学#Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
#计算机科学#A Deep Graph-based Toolbox for Fraud Detection
#计算机科学#OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research