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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 26–50 of 151 papers

TitleStatusHype
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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