Name
Papers
Collaborators
YUZHONG QU
90
173
Citations 
PageRank 
Referers 
726
62.49
1435
Referees 
References 
1727
943
Search Limit
1001000
Title
Citations
PageRank
Year
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data00.342022
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs.00.342022
Implicit Relation Linking for Question Answering over Knowledge Graph00.342022
Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph00.342022
Understanding and Improving Knowledge Graph Embedding for Entity Alignment.00.342022
Informed Multi-context Entity Alignment00.342022
$$\mu \text {KG}$$ : A Library for Multi-source Knowledge Graph Embeddings and Applications00.342022
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities00.342022
An empirical study of representing adjectives over knowledge bases: Approach, lexicon and application00.342022
An empirical study of representing adjectives over knowledge bases: Approach, lexicon and application00.342022
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching.00.342022
Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding00.342022
Enhancing Document-Level Relation Extraction by Entity Knowledge Injection.00.342022
Learning Fine-Grained Fact-Article Correspondence in Legal Cases00.342021
Knowing False Negatives - An Adversarial Training Method for Distantly Supervised Relation Extraction.00.342021
Rule-based data augmentation for knowledge graph embedding00.342021
Knowledge Association with Hyperbolic Knowledge Graph Embeddings.00.342020
Crowdsourced Collective Entity Resolution with Relational Match Propagation10.362020
Open Knowledge Enrichment for Long-tail Entities40.422020
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study20.372020
Global-to-Local Neural Networks for Document-Level Relation Extraction.00.342020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs.00.342020
Joint Reasoning of Events, Participants and Locations for Plot Relation Recognition.00.342020
Knowledge Graph Alignment Network With Gated Multi-Hop Neighborhood Aggregation10.352020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs60.842020
Sensing Performance Investigations on Two-Photon Fluorescent Probes for Detecting β -Amyloid in Alzheimer's Disease.00.342020
TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs.20.362019
Mapping Factoid Adjective Constraints to Existential Restrictions over Knowledge Bases.00.342019
Learning to Complete Knowledge Graphs with Deep Sequential Models.00.342019
Multi-view Knowledge Graph Embedding for Entity Alignment.110.502019
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs.20.352019
MultiKE - a Multi-view Knowledge Graph Embedding Framework for Entity Alignment.00.342019
A new truth discovery method for resolving object conflicts over Linked Data with scale-free property00.342019
Leveraging Context Information For Joint Entity And Relation Linking00.342019
Representation learning over multiple knowledge graphs for knowledge graphs alignment.00.342018
Re-evaluating Embedding-Based Knowledge Graph Completion Methods.10.352018
Property Clustering in Linked Data: An Empirical Study and Its Application to Entity Browsing00.342018
Property Clustering in Linked Data: An Empirical Study and Its Application to Entity Browsing00.342018
Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution.00.342018
Modeling Topic-Based Human Expertise for Crowd Entity Resolution.20.372018
Recurrent Skipping Networks for Entity Alignment.10.342018
DSKG: A Deep Sequential Model for Knowledge Graph Completion.00.342018
Bootstrapping Entity Alignment with Knowledge Graph Embedding.80.452018
Answering Multiple-Choice Questions in Geographical Gaokao with a Concept Graph.00.342018
Answering Multiple-Choice Questions in Geographical Gaokao with a Concept Graph.00.342018
Exploiting Source-Object Network to Resolve Object Conflicts in Linked Data.40.402017
Rpah: A Moving Target Network Defense Mechanism Naturally Resists Reconnaissances And Attacks30.502017
Towards a real-time big data analytics platform for health applications.00.342017
Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata.10.372017
TruthDiscover: Resolving Object Conflicts on Massive Linked Data.10.352017
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