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 91–100 of 1192 papers

TitleStatusHype
Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain ConnectivityCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
Boosting Graph Embedding on a Single GPUCode1
Friendly Neighbors: Contextualized Sequence-to-Sequence Link PredictionCode1
Expressive Power of Invariant and Equivariant Graph Neural NetworksCode1
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link PredictionCode1
CausE: Towards Causal Knowledge Graph EmbeddingCode1
graph2vec: Learning Distributed Representations of GraphsCode1
AirObject: A Temporally Evolving Graph Embedding for Object IdentificationCode1
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource SchedulingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified