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 391–400 of 1192 papers

TitleStatusHype
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion—0
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction—0
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity PredictionCode0
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings—0
Localized Sparse Incomplete Multi-view ClusteringCode1
Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance—0
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex SpacesCode0
Neuro-symbolic computing with spiking neural networksCode1
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity—0
μKG: A Library for Multi-source Knowledge Graph Embeddings and ApplicationsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified