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 1061–1070 of 1192 papers

TitleStatusHype
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
Finding MNEMON: Reviving Memories of Node Embeddings—0
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference—0
FoldExplorer: Fast and Accurate Protein Structure Search with Sequence-Enhanced Graph Embedding—0
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding—0
FREDE: Anytime Graph Embeddings—0
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization—0
Friendship is All we Need: A Multi-graph Embedding Approach for Modeling Customer Behavior—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified