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 876–900 of 1192 papers

TitleStatusHype
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data—0
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach—0
NagE: Non-Abelian Group Embedding for Knowledge Graphs—0
Learning Representations using Spectral-Biased Random Walks on GraphsCode0
Asymmetric Transitivity Preserving Graph Embedding—0
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack—0
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization—0
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding—0
Binarized Graph Neural Network—0
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph—0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction—0
Deep Learning on Knowledge Graph for Recommender System: A Survey—0
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification—0
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations—0
Unsupervised Graph Embedding via Adaptive Graph Learning—0
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition—0
GraphTTS: graph-to-sequence modelling in neural text-to-speech—0
When Radiology Report Generation Meets Knowledge Graph—0
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook—0
Investigating Extensions to Random Walk Based Graph Embedding—0
Predicting event attendance exploring social influence—0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
Relation Embedding for Personalised POI Recommendation—0
Learning graph representations of biochemical networks and its application to enzymatic link predictionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified