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 301–325 of 1192 papers

TitleStatusHype
Multi-Paradigm Analysis of Thai Capital Market Linkages: Bivariate/Vine Copulas, Granger Causality, Network Centrality, and Graph Neural Network/Graph Embedding ApproachesCode0
Refining a k-nearest neighbor graph for a computationally efficient spectral clusteringCode0
Graph Construction using Principal Axis Trees for Simple Graph ConvolutionCode0
Approximate spectral clustering with eigenvector selection and self-tuned kCode0
Approximate spectral clustering density-based similarity for noisy datasetsCode0
Random Projection Forest Initialization for Graph Convolutional NetworksCode0
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis—0
Conformal Prediction for Network-Assisted Regression—0
Persian topic detection based on Human Word association and graph embedding—0
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder IdentificationCode0
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models—0
TIGER: Temporal Interaction Graph Embedding with RestartsCode1
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph—0
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply InteractionsCode0
Spectral Augmentations for Graph Contrastive Learning—0
Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link PredictionCode1
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning—0
PubGraph: A Large-Scale Scientific Knowledge Graph—0
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs—0
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal TransportCode1
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms—0
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding—0
Sem@K: Is my knowledge graph embedding model semantic-aware?Code1
Topologically Regularized Data EmbeddingsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified