SOTAVerified

Graph Representation Learning

The goal of Graph Representation Learning is to construct a set of features (‘embeddings’) representing the structure of the graph and the data thereon. We can distinguish among Node-wise embeddings, representing each node of the graph, Edge-wise embeddings, representing each edge in the graph, and Graph-wise embeddings representing the graph as a whole.

Source: SIGN: Scalable Inception Graph Neural Networks

Papers

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Showing 176–200 of 982 papers

TitleStatusHype
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive LearningCode1
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal KrigingCode1
How Expressive are Transformers in Spectral Domain for Graphs?Code1
A Graph is Worth K Words: Euclideanizing Graph using Pure TransformerCode1
K-Core based Temporal Graph Convolutional Network for Dynamic GraphsCode1
LazyGNN: Large-Scale Graph Neural Networks via Lazy PropagationCode1
Learnable Topological Features for Phylogenetic Inference via Graph Neural NetworksCode1
Data Augmentation on Graphs: A Technical SurveyCode1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
Learning Semantic-Specific Graph Representation for Multi-Label Image RecognitionCode1
LMSOC: An Approach for Socially Sensitive PretrainingCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
Machine Learning on Graphs: A Model and Comprehensive TaxonomyCode1
Audio Event-Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training TasksCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive LearningCode1
Motif-based Graph Representation Learning with Application to Chemical MoleculesCode1
A Large-Scale Database for Graph Representation LearningCode1
Deep Graph Contrastive Representation LearningCode1
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation LearningCode1
Deep Graph Mapper: Seeing Graphs through the Neural LensCode1
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation LearningCode1
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question AnsweringCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Pi-net-linearError (mm)0.47—Unverified