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 821–830 of 1192 papers

TitleStatusHype
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction—0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding—0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding—0
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models—0
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking—0
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field—0
Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding—0
Trans4E: Link Prediction on Scholarly Knowledge Graphs—0
TransA: An Adaptive Approach for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified