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 971–980 of 1192 papers

TitleStatusHype
Graph Embedding Based Hybrid Social Recommendation System—0
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs—0
Molecule Property Prediction Based on Spatial Graph EmbeddingCode0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules—0
Benchmarks for Graph Embedding EvaluationCode0
Invariant embedding for graph classification—0
Temporal Analysis of Reddit Networks via Role Embeddings—0
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks—0
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection—0
Graph Node Embeddings using Domain-Aware Biased Random Walks—0
Show:102550
← PrevPage 98 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified