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 551–560 of 1192 papers

TitleStatusHype
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models—0
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack—0
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
Biomedical Network Link Prediction using Neural Network Graph Embedding—0
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization—0
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules—0
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning—0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified