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Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs, , , , , and . https://github.com/GRAND-Lab/MTGODE, (2022)cite arxiv:2202.08408Comment: 14 pages, 6 figures, 5 tables.Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems, , , and . arXiv preprint arXiv:2312.10967, (2023)Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification., , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation., , , , , , and . ACM Trans. Inf. Syst., 41 (4): 83:1-83:26 (October 2023)An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics., , , and . CoRR, (2022)Fast Heterogeneous Federated Learning with Hybrid Client Selection., , , , , , , and . CoRR, (2022)Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation., , , , , , , , and . IEEE Trans. Knowl. Data Eng., 36 (4): 1815-1828 (April 2024)A Comprehensive Survey on Distributed Training of Graph Neural Networks., , , , , , and . Proc. IEEE, 111 (12): 1572-1606 (December 2023)Graph Learning: A Survey., , , , , , and . IEEE Trans. Artif. Intell., 2 (2): 109-127 (2021)