A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
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Updated
Aug 11, 2021 - Python
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
Repository containing the official code for the paper Graph-based Modeling of Online Communities for Fake News Detection.
通过《西游记》形成西游记内人物之间的关系图谱。含有整理的西游记人物关系三元组(东南大学python选修课大作业)
An implementation of R-GCN model detection on IEEE-Fraud Detection Dataset,
Introduction of RGCNExplainer, an explainability approach for Relational Graph Convolutional Neural Networks.
Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
A comprehensive research platform for Graph Neural Networks (GNNs) featuring 10+ applications including node and graph classification, link prediction, community detection, anomaly detection, and dynamic graph modelling, all with an interactive web interface.
Relational Modeling for Heterogeneous Text Graphs
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