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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 101–150 of 151 papers

TitleStatusHype
Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings—0
A Joint Training Framework for Open-World Knowledge Graph Embeddings—0
DAWT: Densely Annotated Wikipedia Texts across multiple languages—0
Convolutional Neural Knowledge Graph Learning—0
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models—0
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis—0
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion—0
Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities—0
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction—0
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment—0
Neural Entity Linking: A Survey of Models Based on Deep Learning—0
Neural Relation Extraction for Knowledge Base Enrichment—0
Content-Based Personalized Recommender System Using Entity Embeddings—0
On the Use of Entity Embeddings from Pre-Trained Language Models for Knowledge Graph Completion—0
Understanding the Mechanisms Behind Structural Influences on Link Prediction: A Case Study on FB15k-237—0
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
“Politeness, you simpleton!” retorted [MASK]: Masked prediction of literary characters—0
Principled Representation Learning for Entity Alignment—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
CNN-based Dual-Chain Models for Knowledge Graph Learning—0
CMed-GPT: Prompt Tuning for Entity-Aware Chinese Medical Dialogue Generation—0
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks—0
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training—0
Universal Embeddings of Tabular Data—0
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification—0
RelWalk -- A Latent Variable Model Approach to Knowledge Graph Embedding—0
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection—0
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web—0
Entity Embedding as Game Representation—0
DERA: Dense Entity Retrieval for Entity Alignment in Knowledge Graphs—0
Entity Embeddings : Perspectives Towards an Omni-Modality Era for Large Language Models—0
Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning—0
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment—0
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction—0
SERAG: Semantic Entity Retrieval from Arabic Knowledge Graphs—0
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge—0
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale—0
Global entity alignment with Gated Latent Space Neighborhood Aggregation—0
Abstract Graphs and Abstract Paths for Knowledge Graph Completion—0
Entity-Assisted Language Models for Identifying Check-worthy Sentences—0
Graph Neural Pre-training for Enhancing Recommendations using Side Information—0
Graph Reasoning for Explainable Cold Start Recommendation—0
Embedding Knowledge Graphs in Degenerate Clifford Algebras—0
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings—0
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users—0
Improving Entity Linking by Encoding Type Information into Entity Embeddings—0
Improving Entity Linking by Modeling Latent Entity Type Information—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
Social World Knowledge: Modeling and Applications—0
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