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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
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
RaTEScore: A Metric for Radiology Report GenerationCode4
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
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest SearchCode2
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
Entity Embeddings : Perspectives Towards an Omni-Modality Era for Large Language Models—0
MMEAD: MS MARCO Entity Annotations and DisambiguationsCode1
DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge GraphCode0
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector QuantizationCode0
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent EnsemblesCode0
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models—0
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language ModelsCode1
Social World Knowledge: Modeling and Applications—0
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion—0
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge GraphsCode1
InGram: Inductive Knowledge Graph Embedding via Relation GraphsCode1
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference ChainsCode0
An entity-guided text summarization framework with relational heterogeneous graph neural networkCode0
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension—0
Entity-Assisted Language Models for Identifying Check-worthy Sentences—0
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs—0
Inductive Logical Query Answering in Knowledge GraphsCode0
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question AnsweringCode1
A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge GraphsCode0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity AlignmentCode0
Ered: Enhanced Text Representations with Entities and DescriptionsCode0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop SubgraphCode1
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection—0
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation—0
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch SimilaritiesCode1
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