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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 2650 of 151 papers

TitleStatusHype
TempoQR: Temporal Question Reasoning over Knowledge GraphsCode1
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language ModelsCode1
Inductive Learning on Commonsense Knowledge Graph CompletionCode1
Contextual Parameter Generation for Knowledge Graph Link PredictionCode1
MMEAD: MS MARCO Entity Annotations and DisambiguationsCode1
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTCode0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent EnsemblesCode0
Aligning Cross-Lingual Entities with Multi-Aspect InformationCode0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity AlignmentCode0
A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge GraphsCode0
Table2Vec: Neural Word and Entity Embeddings for Table Population and RetrievalCode0
Enhancing Natural Language Representation with Large-Scale Out-of-Domain CommonsenseCode0
End-to-End Neural Entity LinkingCode0
Informed Multi-context Entity AlignmentCode0
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsCode0
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference ChainsCode0
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector QuantizationCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
ELDEN: Improved Entity Linking Using Densified Knowledge GraphsCode0
A Deep Learning System for Predicting Size and Fit in Fashion E-CommerceCode0
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with EntitiesCode0
An entity-guided text summarization framework with relational heterogeneous graph neural networkCode0
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