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Graph Neural Networks

4,522 papers

Papers per year

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Papers

Disentangled Spatiotemporal Graph Generative Models AAAI 2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples AAAI 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels AAAI 2022
Algorithmic Concept-Based Explainable Reasoning AAAI 2022
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks AAAI 2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs AAAI 2022
Cross-Domain Few-Shot Graph Classification AAAI 2022
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022
Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022
Adaptive Kernel Graph Neural Network AAAI 2022
Dist2Cycle: A Simplicial Neural Network for Homology Localization AAAI 2022
Augmentation-Free Self-Supervised Learning on Graphs AAAI 2022
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting AAAI 2022
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations AAAI 2022
Stationary Diffusion State Neural Estimation for Multiview Clustering AAAI 2022
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching AAAI 2022
Deep Graph Clustering via Dual Correlation Reduction AAAI 2022
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning AAAI 2022
Simple Unsupervised Graph Representation Learning AAAI 2022
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks AAAI 2022
Deformable Graph Convolutional Networks AAAI 2022
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation AAAI 2022
VACA: Designing Variational Graph Autoencoders for Causal Queries AAAI 2022
Graph Filtration Kernels AAAI 2022
EqGNN: Equalized Node Opportunity in Graphs AAAI 2022