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-...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on pattern analysis and machine intelligence Ročník 44; číslo 8; s. 4125 - 4138
Hlavní autoři:	Fan, Haoyi, Zhang, Fengbin, Wei, Yuxuan, Li, Zuoyong, Zou, Changqing, Gao, Yue, Dai, Qionghai
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!