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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification IJCAI 2023
PANACEA: An Automated Misinformation Detection System on COVID-19 EACL 2023
A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023
Automatic Dialog Flow Extraction and Guidance EACL 2023
Half-Hop: A graph upsampling approach for slowing down message passing ICML 2023
Personalized Subgraph Federated Learning ICML 2023
Implicit Graph Neural Networks: A Monotone Operator Viewpoint ICML 2023
Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network ICML 2023
GREAD: Graph Neural Reaction-Diffusion Networks ICML 2023
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023
Distribution Free Prediction Sets for Node Classification ICML 2023
Probing Graph Representations AISTATS 2023
Vision HGNN: An Image is More than a Graph of Nodes ICCV 2023
Visual Traffic Knowledge Graph Generation from Scene Images ICCV 2023
On the Initialization of Graph Neural Networks ICML 2023
Local Vertex Colouring Graph Neural Networks ICML 2023
Learning Preconditioners for Conjugate Gradient PDE Solvers ICML 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning ICML 2023
Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention ACML 2023
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting ACML 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks ACML 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies ICML 2023
Graph Neural Tangent Kernel: Convergence on Large Graphs ICML 2023
Autoregressive Diffusion Model for Graph Generation ICML 2023
GOAT: A Global Transformer on Large-scale Graphs ICML 2023