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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

Showing 76100 of 151 papers

TitleStatusHype
Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion0
Informed Multi-context Entity AlignmentCode0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules0
On the Use of Entity Embeddings from Pre-Trained Language Models for Knowledge Graph Completion0
SocialVec: Social Entity EmbeddingsCode0
Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework0
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification0
Principled Representation Learning for Entity Alignment0
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity EmbeddingsCode0
Enhancing Natural Language Representation with Large-Scale Out-of-Domain CommonsenseCode0
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale0
Global entity alignment with Gated Latent Space Neighborhood Aggregation0
Improving Entity Linking by Encoding Type Information into Entity Embeddings0
Graph Neural Pre-training for Enhancing Recommendations using Side Information0
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis0
A Joint Training Framework for Open-World Knowledge Graph Embeddings0
“Politeness, you simpleton!” retorted [MASK]: Masked prediction of literary characters0
WBI at MEDIQA 2021: Summarizing Consumer Health Questions with Generative Transformers0
KECRS: Towards Knowledge-Enriched Conversational Recommendation System0
SERAG: Semantic Entity Retrieval from Arabic Knowledge Graphs0
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web0
Capturing Knowledge of Emerging Entities From Extended Search SnippetsCode0
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training0
A Mixture-of-Experts Model for Learning Multi-Facet Entity EmbeddingsCode0
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