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 701–725 of 1192 papers

TitleStatusHype
A Survey on Embedding Dynamic Graphs—0
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval—0
Dynamic Graph Representation Learning with Fourier Temporal State EmbeddingCode0
Graph Embedding via Topology and Functional Analysis—0
Graph Convolutional Networks for traffic anomalyCode1
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New InsightsCode1
Hop-Hop Relation-aware Graph Neural Networks—0
Understanding graph embedding methods and their applications—0
Bipartite Graph Embedding via Mutual Information MaximizationCode1
Unify Local and Global Information for Top-N RecommendationCode0
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis—0
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules—0
Social Media Medical Concept Normalization using RoBERTa in Ontology Enriched Text Similarity Framework—0
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding—0
TR at SemEval-2020 Task 4: Exploring the Limits of Language-model-based Common Sense Validation—0
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources—0
Curvature Regularization to Prevent Distortion in Graph Embedding—0
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement LearningCode0
xFraud: Explainable Fraud Transaction DetectionCode1
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph EmbeddingCode0
Neural graph embeddings as explicit low-rank matrix factorization for link prediction—0
Automatic selection of clustering algorithms using supervised graph embeddingCode0
Association Rules Enhanced Knowledge Graph Attention Network—0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models—0
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified