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08/16/2023
The Expressive Power of Graph Neural Networks: A Survey
Graph neural networks (GNNs) are effective machine learning models for m...
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06/07/2021
Multi-modal Entity Alignment in Hyperbolic Space
Many AI-related tasks involve the interactions of data in multiple modal...
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01/26/2021
Towards Entity Alignment in the Open World: An Unsupervised Approach
Entity alignment (EA) aims to discover the equivalent entities in differ...
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01/05/2021
Reinforcement Learning based Collective Entity Alignment with Adaptive Features
Entity alignment (EA) is the task of identifying the entities that refer...
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07/07/2020
Exploring Heterogeneous Information Networks via Pre-Training
To explore heterogeneous information networks (HINs), network representa...
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05/25/2020
Degree-Aware Alignment for Entities in Tail
Entity alignment (EA) is to discover equivalent entities in knowledge gr...
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12/18/2019
Collective Embedding-based Entity Alignment via Adaptive Features
Entity alignment (EA) identifies entities that refer to the same real-wo...
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12/03/2019
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition
To tackle Named Entity Recognition (NER) tasks, supervised methods need ...
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06/13/2019
Antonym-Synonym Classification Based on New Sub-space Embeddings
Distinguishing antonyms from synonyms is a key challenge for many NLP ap...
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01/21/2019
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos
The task of video grounding, which temporally localizes a natural langua...
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06/27/2016