Search results with tag "Heterogeneous graph"
A Survey on Heterogeneous Graph Embedding: Methods ...
arxiv.org[13], [14]. To address this challenge, heterogeneous graph embedding (i.e., heterogeneous graph representation learn-ing), aiming to learn a function that maps input space into a lower-dimension space while preserving the hetero-geneous structure and semantics, has drawn considerable attentions in recent years. Although there have been ample
Heterogeneous Graph Attention Network
pengcui.thumedialab.comconsidered in graph neural network for heterogeneous graph which contains different types of nodes and links. The heterogeneity and rich semantic information bring great challenges for designing a graph neural network for heterogeneous graph. Recently, one of the most exciting advancements in deep learning is the attention
Graph Transformer Networks - NeurIPS
proceedings.neurips.ccheterogeneous graph and learns node representations via convolution on the learnt graph structures for a given problem. Our contributions are as follows:(i)We propose a novel framework Graph Transformer Networks, to learn a new graph structure which involves identifying useful meta-paths and multi-hop connections