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 991–1000 of 1192 papers

TitleStatusHype
Graph Embeddings at Scale—0
From Node Embedding To Community Embedding : A Hyperbolic ApproachCode0
Knowledge Graph Embedding for Ecotoxicological Effect PredictionCode0
Unsupervised Adversarial Graph Alignment with Graph Embedding—0
Zero-shot Word Sense Disambiguation using Sense Definition EmbeddingsCode0
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical StructuresCode0
Probabilistic Logic Neural Networks for ReasoningCode0
Attributed Graph Clustering: A Deep Attentional Embedding ApproachCode0
Spaceland Embedding of Sparse Stochastic Graphs—0
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified