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 21–30 of 1192 papers

TitleStatusHype
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph CompletionCode1
Fast and Continual Knowledge Graph Embedding via Incremental LoRACode1
UniGLM: Training One Unified Language Model for Text-Attributed Graph EmbeddingCode1
Generalizing Knowledge Graph Embedding with Universal Orthogonal ParameterizationCode1
Towards Continual Knowledge Graph Embedding via Incremental DistillationCode1
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph EmbeddingCode1
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural NetworkCode1
Graph Dual-stream Convolutional Attention Fusion for Precipitation NowcastingCode1
Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological ImagesCode1
LGMRec: Local and Global Graph Learning for Multimodal RecommendationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified