Graph Neural Network Library for PyTorch. Contribute to chest760/pytorch_geometric development by creating an account on GitHub.
More details can be found in https://kdd2021graph.github.io/. 🎉 News History The new v0.4.0 release refactors the data storage (from Data to Graph) and provides more fast operators to speed up GNN training. It also includes many self-supervised learning methods on graphs. BTW, we ...
General Strategy for Unlearning in Graph Neural Networks - GitHub - mims-harvard/GNNDelete: General Strategy for Unlearning in Graph Neural Networks
Should you ran into any problems or had any questions, please get in touch viaemailor open an issue onGitHub. Citation If you find this code useful, please cite the following paper: @inproceedings{sajadmanesh2023gap,title={GAP: Differentially Private Graph Neural Networks with Aggregation Perturb...
Graph Neural Architecture Search (GraphNAS for short) enables automatic design of the best graph neural architecture based on reinforcement learning. This directory contains code necessary to run GraphNAS. Specifically, GraphNAS first uses a recurrent network to generate variable-length strings that ...
GraphScope makes multi-staged processing of large-scale graph data on compute clusters simply by combining several important pieces of Alibaba technology: including GRAPE, MaxGraph, and Graph-Learn (GL) for analytics, interactive, and graph neural networks (GNN) computation, respectively, and the ...
Neural Network Graph Package This package provides graphical computation for nn library in Torch. Requirements You do not need graphviz to be able to use this library, but if you have it you will be able to display the graphs that you have created. For installing the package run the appropri...
CNN4G[2016] : Learning convolutional neural networks for graphs 该模型是针对Graph分类任务的,主要思路是选出一-些节点代表整个Graph,并为每个节点选出特定个数的邻域,然后在每个节点和其邻域节点组成的矩阵上做卷积。 算法步骤: 找出w个节点,这w个节点可以代表整个Graph,文章使用的是centrality的方法,即选出w个...
GraphScope makes multi-staged processing of large-scale graph data on compute clusters simple by combining several important pieces of Alibaba technology: including GRAPE, MaxGraph, and Graph-Learn (GL) for analytics, interactive, and graph neural networks (GNN) computation, respectively, and the ...
A blog for understanding graph neural network. Contribute to lizhaoda/Graph-Neural-Network-Note development by creating an account on GitHub.