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 101–150 of 982 papers

TitleStatusHype
GripNet: Graph Information Propagation on Supergraph for Heterogeneous GraphsCode1
GrokFormer: Graph Fourier Kolmogorov-Arnold TransformersCode1
HGATE: Heterogeneous Graph Attention Auto-EncodersCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
A Meta-Learning Approach for Graph Representation Learning in Multi-Task SettingsCode1
Hierarchical Graph Representation Learning with Differentiable PoolingCode1
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation LearningCode1
How Powerful are Graph Neural Networks?Code1
Implicit Graphon Neural RepresentationCode1
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily DiscriminatingCode1
Deep Graph Representation Learning and Optimization for Influence MaximizationCode1
Bi-GCN: Binary Graph Convolutional NetworkCode1
An adaptive graph learning method for automated molecular interactions and properties predictionsCode1
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training TasksCode1
LazyGNN: Large-Scale Graph Neural Networks via Lazy PropagationCode1
Learnable Topological Features for Phylogenetic Inference via Graph Neural NetworksCode1
Boosting Graph Structure Learning with Dummy NodesCode1
Boost then Convolve: Gradient Boosting Meets Graph Neural NetworksCode1
Large-Scale Representation Learning on Graphs via BootstrappingCode1
Deep Graph Mapper: Seeing Graphs through the Neural LensCode1
An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor IsomorphismCode1
LMSOC: An Approach for Socially Sensitive PretrainingCode1
Machine Learning on Graphs: A Model and Comprehensive TaxonomyCode1
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation LearningCode1
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
Deep Graph Contrastive Representation LearningCode1
CCGL: Contrastive Cascade Graph LearningCode1
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand PredictionCode1
DyTed: Disentangled Representation Learning for Discrete-time Dynamic GraphCode1
Empowering Graph Representation Learning with Test-Time Graph TransformationCode1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph ClassificationCode1
Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power SystemCode1
A Representation Learning Framework for Property GraphsCode1
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on EchocardiogramsCode1
Edge-aware Graph Representation Learning and Reasoning for Face ParsingCode1
Certifiably Robust Graph Contrastive LearningCode1
DiffKG: Knowledge Graph Diffusion Model for RecommendationCode1
A Proposal of Multi-Layer Perceptron with Graph Gating Unit for Graph Representation Learning and its Application to Surrogate Model for FEMCode1
Evaluating Modules in Graph Contrastive LearningCode1
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
Class-Imbalanced Learning on Graphs: A SurveyCode1
A step towards neural genome assemblyCode1
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender SystemsCode1
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Benchmark Results

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