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 891–900 of 1192 papers

TitleStatusHype
TR at SemEval-2020 Task 4: Exploring the Limits of Language-model-based Common Sense Validation—0
Probability Calibration for Knowledge Graph Embedding Models—0
Product Knowledge Graph Embedding for E-commerce—0
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion—0
ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space—0
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations—0
PubGraph: A Large-Scale Scientific Knowledge Graph—0
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer—0
A Unified Framework for Cross-Domain and Cross-System Recommendations—0
Pykg2vec: A Python Library for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified