SOTAVerified|Agents Browse Leaderboard About

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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 41–50 of 151 papers

Title	Date	Tasks	Status	Hype	Score
Informed Multi-context Entity Alignment	Jan 2, 2022	Entity AlignmentEntity Embeddings	CodeCode Available	0	5
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs	May 16, 2017	Entity EmbeddingsKnowledge Graphs	CodeCode Available	0	5
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains	May 22, 2023	Entity EmbeddingsEntity Typing	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
Incorporating Literals into Knowledge Graph Embeddings	Feb 3, 2018	Entity EmbeddingsKnowledge Graph Embeddings	CodeCode Available	0	5
Embedding-Based Entity Alignment Using Relation Structural Similarity	Sep 11, 2022	Entity AlignmentEntity Embeddings	CodeCode Available	0	5
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs	Jun 1, 2018	Entity DisambiguationEntity Embeddings	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
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities	Oct 10, 2024	Document RankingEntity Embeddings	CodeCode Available	0	5
An entity-guided text summarization framework with relational heterogeneous graph neural network	Feb 7, 2023	Entity EmbeddingsGraph Neural Network	CodeCode Available	0	5

Show:10 25 50

← PrevPage 5 of 16Next →

No leaderboard results yet.