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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 76–100 of 151 papers

TitleStatusHype
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale—0
Improving Entity Linking by Encoding Type Information into Entity Embeddings—0
Global entity alignment with Gated Latent Space Neighborhood Aggregation—0
Graph Neural Pre-training for Enhancing Recommendations using Side Information—0
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis—0
A Joint Training Framework for Open-World Knowledge Graph Embeddings—0
Improving Entity Linking through Semantic Reinforced Entity EmbeddingsCode1
“Politeness, you simpleton!” retorted [MASK]: Masked prediction of literary characters—0
WBI at MEDIQA 2021: Summarizing Consumer Health Questions with Generative Transformers—0
KECRS: Towards Knowledge-Enriched Conversational Recommendation System—0
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes AnalysisCode1
SERAG: Semantic Entity Retrieval from Arabic Knowledge Graphs—0
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web—0
Capturing Knowledge of Emerging Entities From Extended Search SnippetsCode0
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training—0
A Mixture-of-Experts Model for Learning Multi-Facet Entity EmbeddingsCode0
Relation Extraction with Contextualized Relation Embedding (CRE)Code0
DisenE: Disentangling Knowledge Graph Embeddings—0
Content-Based Personalized Recommender System Using Entity Embeddings—0
Entity Embedding as Game Representation—0
CoLAKE: Contextualized Language and Knowledge EmbeddingCode1
Inductive Learning on Commonsense Knowledge Graph CompletionCode1
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
Neural Entity Linking: A Survey of Models Based on Deep Learning—0
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