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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 101150 of 151 papers

TitleStatusHype
Entity Embeddings : Perspectives Towards an Omni-Modality Era for Large Language Models0
Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning0
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge0
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale0
Global entity alignment with Gated Latent Space Neighborhood Aggregation0
Entity Embeddings of Categorical VariablesCode0
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTCode0
Merge and Label: A novel neural network architecture for nested NERCode0
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation ExtractionCode0
Ered: Enhanced Text Representations with Entities and DescriptionsCode0
KRED: Knowledge-Aware Document Representation for News RecommendationsCode0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
DeepType: Multilingual Entity Linking by Neural Type System EvolutionCode0
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity EmbeddingsCode0
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment DecodingCode0
Enhancing Natural Language Representation with Large-Scale Out-of-Domain CommonsenseCode0
Knowledge Hypergraphs: Prediction Beyond Binary RelationsCode0
DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge GraphCode0
End-to-End Neural Entity LinkingCode0
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference ChainsCode0
Word Embeddings for Entity-annotated TextsCode0
Multi-relational Poincaré Graph EmbeddingsCode0
Named Entity Disambiguation for Noisy TextCode0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
Aligning Cross-Lingual Entities with Multi-Aspect InformationCode0
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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