Heterogeneous Hypergraph Variational Autoencoder for Link Prediction

Link prediction aims at inferring missing links or predicting future ones based on the currently observed network. This topic is important for many applications such as social media, bioinformatics and recommendation systems. Most existing methods focus on homogeneous settings and consider only low-...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 8; pp. 4125 - 4138
Main Authors:	Fan, Haoyi, Zhang, Fengbin, Wei, Yuxuan, Li, Zuoyong, Zou, Changqing, Gao, Yue, Dai, Qionghai
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Bioinformatics Fans Graph theory Graphs Heterogeneity Heterogeneous information network hyperedge attention hypergraph link prediction Network analysis Network topology Nodes Predictions Predictive models Recommender systems Semantics Stochastic processes Task analysis Topology variational inference
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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