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Graphical Neural Networks (GNNs) are a class of neural networks designed to perform inference on data described by graphs.
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![]() Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information AggregationInternational Conference on Artificial Neural Networks (ICANN), 2025 | |||
![]() SpaPool: Soft Partition Assignment Pooling for__Graph Neural NetworksInternational Conference on Data Warehousing and Knowledge Discovery (DaWaK), 2025 | |||
![]() Representation Learning on Large Non-Bipartite Transaction Networks using GraphSAGEWorkshop on Graph Based Representations in Pattern Recognition (GBRPR), 2025 | |||
![]() Quantum Computing for Large-scale Network Optimization: Opportunities and ChallengesIEEE Communications Magazine (IEEE Commun. Mag.), 2025 | |||
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