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 51–100 of 982 papers

TitleStatusHype
Geometry-Complete Perceptron Networks for 3D Molecular GraphsCode1
A Meta-Learning Approach for Graph Representation Learning in Multi-Task SettingsCode1
GRAPE for Fast and Scalable Graph Processing and random walk-based EmbeddingCode1
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on EchocardiogramsCode1
Empowering Graph Representation Learning with Test-Time Graph TransformationCode1
An adaptive graph learning method for automated molecular interactions and properties predictionsCode1
FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation LearningCode1
Graph Contrastive Learning with Cohesive Subgraph AwarenessCode1
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated LearningCode1
An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor IsomorphismCode1
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learningCode1
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power SystemCode1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
Disentangle-based Continual Graph Representation LearningCode1
Deep Graph Mapper: Seeing Graphs through the Neural LensCode1
DiffKG: Knowledge Graph Diffusion Model for RecommendationCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive LearningCode1
Deep Graph Representation Learning and Optimization for Influence MaximizationCode1
Multi-hop Attention Graph Neural NetworkCode1
A step towards neural genome assemblyCode1
A Structure-Aware Framework for Learning Device Placements on Computation GraphsCode1
Adversarial Graph DisentanglementCode1
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand PredictionCode1
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?Code1
A Fair Comparison of Graph Neural Networks for Graph ClassificationCode1
DropMessage: Unifying Random Dropping for Graph Neural NetworksCode1
A Generalization of ViT/MLP-Mixer to GraphsCode1
Data Augmentation on Graphs: A Technical SurveyCode1
A Representation Learning Framework for Property GraphsCode1
Edge-aware Graph Representation Learning and Reasoning for Face ParsingCode1
A Gentle Introduction to Deep Learning for GraphsCode1
Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftCode1
Bi-GCN: Binary Graph Convolutional NetworkCode1
Enhancing Graph Representation Learning with Localized Topological FeaturesCode1
A Graph is Worth K Words: Euclideanizing Graph using Pure TransformerCode1
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsCode1
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training TasksCode1
CCGL: Contrastive Cascade Graph LearningCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Audio Event-Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Boosting Graph Structure Learning with Dummy NodesCode1
A Large-Scale Database for Graph Representation LearningCode1
Large-Scale Representation Learning on Graphs via BootstrappingCode1
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation LearningCode1
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph ClassificationCode1
Show:102550
← PrevPage 2 of 20Next →

Benchmark Results

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