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
Graph Representation Learning via Causal Diffusion for Out-of-Distribution RecommendationCode1
Graph Propagation Transformer for Graph Representation LearningCode1
Graph Representation Learning for Multi-Task Settings: a Meta-Learning ApproachCode1
A Generalization of ViT/MLP-Mixer to GraphsCode1
Multi-hop Attention Graph Neural NetworkCode1
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand PredictionCode1
Graph Trend Filtering Networks for RecommendationsCode1
Edge-aware Graph Representation Learning and Reasoning for Face ParsingCode1
GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph RepresentationCode1
Heterogeneous Graph Representation Learning with Relation AwarenessCode1
HGATE: Heterogeneous Graph Attention Auto-EncodersCode1
A Gentle Introduction to Deep Learning for GraphsCode1
Disentangle-based Continual Graph Representation LearningCode1
Hierarchical Heterogeneous Graph Representation Learning for Short Text ClassificationCode1
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation LearningCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
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
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power SystemCode1
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property PredictionCode1
LazyGNN: Large-Scale Graph Neural Networks via Lazy PropagationCode1
Data Augmentation on Graphs: A Technical SurveyCode1
Learning Efficient Positional Encodings with Graph Neural NetworksCode1
Learning Semantic-Specific Graph Representation for Multi-Label Image RecognitionCode1
LMSOC: An Approach for Socially Sensitive PretrainingCode1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
Machine Learning on Graphs: A Model and Comprehensive TaxonomyCode1
Audio Event-Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training TasksCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Motif-based Graph Representation Learning with Application to Chemical MoleculesCode1
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
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