SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 881–890 of 1192 papers

TitleStatusHype
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding—0
Translating Embeddings in Document for Modeling Multi-relational Graphs—0
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset—0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction—0
Predictive Query-based Pipeline for Graph Data—0
TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation—0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens—0
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models—0
Unified Framework for Feature Extraction based on Contrastive Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified