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 851–860 of 1192 papers

TitleStatusHype
Unbiased Graph Embedding with Biased Graph Observations—0
Understanding graph embedding methods and their applications—0
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization—0
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference—0
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces—0
Unsupervised Adversarial Graph Alignment with Graph Embedding—0
Unsupervised Multi-modal Hashing for Cross-modal retrieval—0
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks—0
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified