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 151–200 of 982 papers

TitleStatusHype
Edge Representation Learning with HypergraphsCode1
A Structure-Aware Framework for Learning Device Placements on Computation GraphsCode1
Adversarial Graph DisentanglementCode1
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated LearningCode1
A Proposal of Multi-Layer Perceptron with Graph Gating Unit for Graph Representation Learning and its Application to Surrogate Model for FEMCode1
DiffKG: Knowledge Graph Diffusion Model for RecommendationCode1
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender SystemsCode1
Graph Mixture Density NetworksCode1
A Fair Comparison of Graph Neural Networks for Graph ClassificationCode1
Multi-hop Attention Graph Neural NetworkCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural NetworksCode1
A Generalization of ViT/MLP-Mixer to GraphsCode1
Graph Representation Learning via Graphical Mutual Information MaximizationCode1
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand PredictionCode1
GRPE: Relative Positional Encoding for Graph TransformerCode1
Graph Representation Learning via Causal Diffusion for Out-of-Distribution RecommendationCode1
GrokFormer: Graph Fourier Kolmogorov-Arnold TransformersCode1
Handling Missing Data with Graph Representation LearningCode1
Heterogeneous Graph Representation Learning with Relation AwarenessCode1
A Gentle Introduction to Deep Learning for GraphsCode1
Hierarchical Graph Representation Learning with Differentiable PoolingCode1
Hierarchical Heterogeneous Graph Representation Learning for Short Text ClassificationCode1
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation LearningCode1
DropMessage: Unifying Random Dropping for Graph Neural NetworksCode1
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