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Neural-Answering Logical Queries on Knowledge Graphs
Lihui Liu
, Boxin Du
,
Heng Ji
,
Cheng Xiang Zhai
,
Hanghang Tong
National Center for Supercomputing Applications (NCSA)
Statistics
School of Information Sciences
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
Coordinated Science Lab
Research output
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Chapter in Book/Report/Conference proceeding
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Keyphrases
Knowledge Graph
100%
Logical Query
100%
Graph Matching
60%
Online Responses
60%
Linear Transformation
40%
Variable Node
40%
Transformation Assumption
40%
Challenging Problems
20%
Response Time
20%
Fundamental Limitations
20%
Online to Offline
20%
Complex Query
20%
Embedding Space
20%
Training Time
20%
Noisy-OR
20%
Response Training
20%
Logic Operation
20%
Question Answering System
20%
Online Training
20%
Alternative Type
20%
Knowledge Graph Question Answering
20%
Modeling Relation
20%
Computer Science
Knowledge Graph
100%
Subgraphs
50%
Linear Transformation
33%
Response Time
16%
Embedding Space
16%
question answering system
16%
Missing Information
16%
Logical Operation
16%