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Heterogeneous Information Networks: the Past, the Present, and the Future
Yizhou Sun
,
Jiawei Han
, Xifeng Yan
, Philip S. Yu
, Tianyi Wu
Information Trust Institute
Carl R. Woese Institute for Genomic Biology
National Center for Supercomputing Applications (NCSA)
Siebel School of Computing and Data Science
Research output
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Contribution to journal
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Conference article
›
peer-review
Overview
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Dive into the research topics of 'Heterogeneous Information Networks: the Past, the Present, and the Future'. Together they form a unique fingerprint.
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Keyphrases
Heterogeneous Information Network
100%
Meta-path
100%
PathSim
100%
Network Embedding
33%
Path-based
33%
New Relation
33%
Graph Embedding
33%
Symbolic Reasoning
33%
General Network
33%
Network Schema
33%
Relation Type
33%
Feature Engineering
33%
Knowledge Graph
33%
Shallow Network
33%
Heterogeneous Network Representation Learning
33%
Heterogeneous Graph Neural Network
33%
Computer Science
Information Network
100%
Future Direction
33%
Heterogeneous Network
33%
Network Representation Learning
33%
Graph Neural Network
33%
Knowledge Graph
33%
Heterogeneous Graph
33%
Feature Engineering
33%