R-GCN

CellStrat > Research/Blog > R-GCN
23
Jun
Relational GCN for Heterogeneous Graphs

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars #WhereLearningNeverStops Recently, our AI Lab Researcher Gouthaman Asokan presented an amazing session on Relational Graphical Convolutional Networks (Relational GCN). These are particularly useful for mining heterogeneous groups. Table of Contents :- GCN HOMOGENEOUS AND HETEROGENEOUS GRAPHS KEY IDEAS OF RELATIONAL GCN FINDING PAGERANK USING MESSAGE PASSING BUILDING A RELATIONAL GCN FOR THE […]

Posted in: Graph Neural Networks, Publishing, Retail,
Tags: ACM Citation, Entity classification, GCN, GNN, graph analysis, Graph Convolutional Network, graph network, graph neural networks, graph theory, heterogenous graphs, homogeneous graphs, knowledge graph, Link Prediction, Message Passing, ontology, ontology graph, PageRank, pytorch, R-GCN, recommender systems, relational GCN,