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Entity Embeddings
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Understanding the Mechanisms Behind Structural Influences on Link Prediction: A Case Study on FB15k-237
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities
DERA: Dense Entity Retrieval for Entity Alignment in Knowledge Graphs
RaTEScore: A Metric for Radiology Report Generation
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph
Graph Reasoning for Explainable Cold Start Recommendation
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
Unlocking the Power of Large Language Models for Entity Alignment
Embedding Knowledge Graphs in Degenerate Clifford Algebras
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
CMed-GPT: Prompt Tuning for Entity-Aware Chinese Medical Dialogue Generation
Entity Embeddings : Perspectives Towards an Omni-Modality Era for Large Language Models
DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph
MMEAD: MS MARCO Entity Annotations and Disambiguations
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models
Social World Knowledge: Modeling and Applications
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
An entity-guided text summarization framework with relational heterogeneous graph neural network
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
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