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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 1–25 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
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