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Entity Embeddings

Entity Embeddings is a technique for applying deep learning to tabular data. It involves representing the categorical data of an information systems entity with multiple dimensions.

Papers

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Showing 31–40 of 151 papers

Title	Date	Tasks	Status	Hype	Score
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT	Nov 9, 2019	Entity EmbeddingsEntity Linking	CodeCode Available	0	5
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles	Aug 28, 2023	Entity EmbeddingsKnowledge Graphs	CodeCode Available	0	5
Aligning Cross-Lingual Entities with Multi-Aspect Information	Oct 15, 2019	Entity AlignmentEntity Embeddings	CodeCode Available	0	5
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment	Sep 5, 2022	Entity AlignmentEntity Embeddings	CodeCode Available	0	5
A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs	Sep 20, 2022	Entity AlignmentEntity Embeddings	CodeCode Available	0	5
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval	May 31, 2019	Entity EmbeddingsLanguage Modeling	CodeCode Available	0	5
KRED: Knowledge-Aware Document Representation for News Recommendations	Oct 25, 2019	Articlesdocument understanding	CodeCode Available	0	5
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding	Jan 23, 2024	Entity AlignmentEntity Embeddings	CodeCode Available	0	5
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization	Aug 31, 2023	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	0	5
A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce	Jul 23, 2019	Collaborative FilteringEntity Embeddings	CodeCode Available	0	5

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