SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 881–890 of 1192 papers

TitleStatusHype
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack—0
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization—0
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding—0
Binarized Graph Neural Network—0
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph—0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction—0
Deep Learning on Knowledge Graph for Recommender System: A Survey—0
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification—0
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified