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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 982 papers

TitleStatusHype
Adversarial Graph DisentanglementCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?Code1
A Representation Learning Framework for Property GraphsCode1
CCGL: Contrastive Cascade Graph LearningCode1
A Generalization of ViT/MLP-Mixer to GraphsCode1
Edge-aware Graph Representation Learning and Reasoning for Face ParsingCode1
Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftCode1
Bi-GCN: Binary Graph Convolutional NetworkCode1
A Gentle Introduction to Deep Learning for GraphsCode1
Class-Imbalanced Learning on Graphs: A SurveyCode1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsCode1
Multi-hop Attention Graph Neural NetworkCode1
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question AnsweringCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Fast Graph Learning with Unique Optimal SolutionsCode1
A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt LearningCode1
Audio Event-Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Deep Graph Contrastive Representation LearningCode1
A Large-Scale Database for Graph Representation LearningCode1
Geodesic Graph Neural Network for Efficient Graph Representation LearningCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
Disentangle-based Continual Graph Representation LearningCode1
Show:102550
← PrevPage 4 of 40Next →

Benchmark Results

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