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05/05/2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
We study dangling-aware entity alignment in knowledge graphs (KGs), whic...
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01/20/2022
A Guideline for the Statistical Analysis of Compositional Data in Immunology
The study of immune cellular composition is of great scientific interest...
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04/22/2020
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
Learning knowledge graph (KG) embeddings has received increasing attenti...
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03/10/2020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Entity alignment seeks to find entities in different knowledge graphs (K...
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11/20/2019
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
Graph neural networks (GNNs) have emerged as a powerful paradigm for emb...
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06/06/2019
Multi-view Knowledge Graph Embedding for Entity Alignment
We study the problem of embedding-based entity alignment between knowled...
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05/13/2019
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
We study the problem of knowledge graph (KG) embedding. A widely-establi...
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11/06/2018
Recurrent Skipping Networks for Entity Alignment
We consider the problem of learning knowledge graph (KG) embeddings for ...
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08/16/2017
