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 1–10 of 1192 papers

TitleStatusHype
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs—0
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding—0
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph EmbeddingCode0
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature AggregationCode0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Lightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic Forecasting—0
Robust Knowledge Graph Embedding via Denoising—0
Injecting Knowledge Graphs into Large Language Models—0
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers—0
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified