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Time Associated Meta Learning for Clinical Prediction., , , , , , , and . CoRR, (2023)Geodesic Graph Neural Network for Efficient Graph Representation Learning., , and . NeurIPS, (2022)Towards Arbitrarily Expressive GNNs in O(n2) Space by Rethinking Folklore Weisfeiler-Lehman., , , , , , and . CoRR, (2023)Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks., , , , , and . CoRR, (2023)One for All: Towards Training One Graph Model for All Classification Tasks., , , , , , and . CoRR, (2023)Manipulating Elections by Changing Voter Perceptions., , , and . IJCAI, page 557-563. ijcai.org, (2022)Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks., , , , , and . WWW, page 365-376. ACM, (2024)A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks., , , and . CoRR, (2023)MAG-GNN: Reinforcement Learning Boosted Graph Neural Network., , , , , and . NeurIPS, (2023)Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman., , , , , , and . NeurIPS, (2023)