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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 1–50 of 151 papers

TitleStatusHype
RaTEScore: A Metric for Radiology Report GenerationCode4
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest SearchCode2
Scalable Zero-shot Entity Linking with Dense Entity RetrievalCode2
MMEAD: MS MARCO Entity Annotations and DisambiguationsCode1
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language ModelsCode1
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge GraphsCode1
InGram: Inductive Knowledge Graph Embedding via Relation GraphsCode1
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question AnsweringCode1
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop SubgraphCode1
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch SimilaritiesCode1
Entity-aware Transformers for Entity SearchCode1
Query2Particles: Knowledge Graph Reasoning with Particle EmbeddingsCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Rethinking Graph Convolutional Networks in Knowledge Graph CompletionCode1
TempoQR: Temporal Question Reasoning over Knowledge GraphsCode1
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural NetworksCode1
Meta-Knowledge Transfer for Inductive Knowledge Graph EmbeddingCode1
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List ContinuationCode1
Complex Temporal Question Answering on Knowledge GraphsCode1
Improving Entity Linking through Semantic Reinforced Entity EmbeddingsCode1
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes AnalysisCode1
CoLAKE: Contextualized Language and Knowledge EmbeddingCode1
Inductive Learning on Commonsense Knowledge Graph CompletionCode1
TransEdge: Translating Relation-contextualized Embeddings for Knowledge GraphsCode1
Contextual Parameter Generation for Knowledge Graph Link PredictionCode1
Message Passing Query EmbeddingCode1
MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge GraphCode1
Relation-Aware Entity Alignment for Heterogeneous Knowledge GraphsCode1
RDF2Vec: RDF Graph Embeddings and Their ApplicationsCode1
Universal Embeddings of Tabular Data—0
Understanding the Mechanisms Behind Structural Influences on Link Prediction: A Case Study on FB15k-237—0
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment—0
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph EmbeddingsCode0
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs—0
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase—0
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with EntitiesCode0
DERA: Dense Entity Retrieval for Entity Alignment in Knowledge Graphs—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
Graph Reasoning for Explainable Cold Start Recommendation—0
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users—0
Unlocking the Power of Large Language Models for Entity AlignmentCode0
Embedding Knowledge Graphs in Degenerate Clifford Algebras—0
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment—0
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment DecodingCode0
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation ExtractionCode0
Inductive Link Prediction in Knowledge Graphs using Path-based Neural NetworksCode0
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion—0
CMed-GPT: Prompt Tuning for Entity-Aware Chinese Medical Dialogue Generation—0
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