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 91–100 of 1192 papers

TitleStatusHype
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph CompletionCode1
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation—0
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph EmbeddingCode0
Ironing the Graphs: Toward a Correct Geometric Analysis of Large-Scale Graphs—0
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning—0
On The Expressive Power of Knowledge Graph Embedding Methods—0
KGpose: Keypoint-Graph Driven End-to-End Multi-Object 6D Pose Estimation via Point-Wise Pose Voting—0
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks—0
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation—0
Fast and Continual Knowledge Graph Embedding via Incremental LoRACode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified