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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 126150 of 151 papers

TitleStatusHype
Incorporating Literals into Knowledge Graph EmbeddingsCode0
ELDEN: Improved Entity Linking Using Densified Knowledge GraphsCode0
Inductive Link Prediction in Knowledge Graphs using Path-based Neural NetworksCode0
Inductive Logical Query Answering in Knowledge GraphsCode0
Informed Multi-context Entity AlignmentCode0
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with EntitiesCode0
SocialVec: Social Entity EmbeddingsCode0
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural NetworkCode0
Table2Vec: Neural Word and Entity Embeddings for Table Population and RetrievalCode0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph EmbeddingsCode0
A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge GraphsCode0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsCode0
An entity-guided text summarization framework with relational heterogeneous graph neural networkCode0
Unlocking the Power of Large Language Models for Entity AlignmentCode0
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent EnsemblesCode0
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity AlignmentCode0
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector QuantizationCode0
Capturing Knowledge of Emerging Entities From Extended Search SnippetsCode0
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph CompletionCode0
Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
Relation Extraction with Contextualized Relation Embedding (CRE)Code0
A Mixture-of-Experts Model for Learning Multi-Facet Entity EmbeddingsCode0
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