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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 51–100 of 151 papers

TitleStatusHype
Entity-aware Transformers for Entity SearchCode1
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph CompletionCode0
Query2Particles: Knowledge Graph Reasoning with Particle EmbeddingsCode1
Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings—0
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion—0
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Rethinking Graph Convolutional Networks in Knowledge Graph CompletionCode1
Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion—0
Informed Multi-context Entity AlignmentCode0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules—0
TempoQR: Temporal Question Reasoning over Knowledge GraphsCode1
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural NetworksCode1
On the Use of Entity Embeddings from Pre-Trained Language Models for Knowledge Graph Completion—0
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 Framework—0
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification—0
Meta-Knowledge Transfer for Inductive Knowledge Graph EmbeddingCode1
Principled Representation Learning for Entity Alignment—0
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List ContinuationCode1
Complex Temporal Question Answering on Knowledge GraphsCode1
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 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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