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 151–200 of 982 papers

TitleStatusHype
Disentangle-based Continual Graph Representation LearningCode1
A Structure-Aware Framework for Learning Device Placements on Computation GraphsCode1
Adversarial Graph DisentanglementCode1
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural NetworksCode1
A Proposal of Multi-Layer Perceptron with Graph Gating Unit for Graph Representation Learning and its Application to Surrogate Model for FEMCode1
Edge-aware Graph Representation Learning and Reasoning for Face ParsingCode1
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?Code1
How Powerful are Graph Neural Networks?Code1
A Fair Comparison of Graph Neural Networks for Graph ClassificationCode1
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoTCode1
Evaluating Modules in Graph Contrastive LearningCode1
Geodesic Graph Neural Network for Efficient Graph Representation LearningCode1
A Generalization of ViT/MLP-Mixer to GraphsCode1
K-Core based Temporal Graph Convolutional Network for Dynamic GraphsCode1
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand PredictionCode1
Enhancing Graph Representation Learning with Localized Topological FeaturesCode1
Graph Neural Networks in Recommender Systems: A SurveyCode1
Expander Graph PropagationCode1
Learning Efficient Positional Encodings with Graph Neural NetworksCode1
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsCode1
A Gentle Introduction to Deep Learning for GraphsCode1
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question AnsweringCode1
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender SystemsCode1
Graph Representation Learning via Causal Diffusion for Out-of-Distribution RecommendationCode1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive LearningCode1
Fast Graph Learning with Unique Optimal SolutionsCode1
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation LearningCode1
A Graph is Worth K Words: Euclideanizing Graph using Pure TransformerCode1
A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt LearningCode1
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-AttentionCode1
Modeling Two-Way Selection Preference for Person-Job FitCode1
Data Augmentation on Graphs: A Technical SurveyCode1
GCC: Graph Contrastive Coding for Graph Neural Network Pre-TrainingCode1
FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation LearningCode1
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
GCondenser: Benchmarking Graph CondensationCode1
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on GraphsCode1
Audio Event-Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
Multi-view Tensor Graph Neural Networks Through Reinforced AggregationCode1
Graph Neural Networks with Adaptive ResidualCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic GraphsCode1
Graph Autoencoder for Graph Compression and Representation LearningCode1
A Large-Scale Database for Graph Representation LearningCode1
Deep Graph Contrastive Representation LearningCode1
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discoveryCode1
Deep Graph Mapper: Seeing Graphs through the Neural LensCode1
Deep Graph Representation Learning and Optimization for Influence MaximizationCode1
Graph Propagation Transformer for Graph Representation LearningCode1
Show:102550
← PrevPage 4 of 20Next →

Benchmark Results

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