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Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning., , , , , , и . ACM Trans. Knowl. Discov. Data, 17 (5): 75:1-75:25 (июня 2023)A framework based on sparse representation model for time series prediction in smart city., , , , , и . Frontiers Comput. Sci., 15 (1): 151305 (2021)Improving Dynamic Graph Convolutional Network with Fine-Grained Attention Mechanism., , , , и . ICASSP, стр. 3938-3942. IEEE, (2022)Adaptive Attention Graph Capsule Network., , , , и . ICASSP, стр. 3588-3592. IEEE, (2022)A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network., , , , , , и . SDM, стр. 505-513. SIAM, (2023)Graph Capsule Network with a Dual Adaptive Mechanism., , , , и . SIGIR, стр. 1859-1864. ACM, (2022)Electric Load Forecasting Based on Sparse Representation Model., , , , и . GPC, том 11204 из Lecture Notes in Computer Science, стр. 357-369. Springer, (2018)Graph Fine-Grained Contrastive Representation Learning., , , , и . ICASSP, стр. 3478-3482. IEEE, (2022)Graph Ensemble Networks for Semi-supervised Embedding Learning., , , , , и . KSEM, том 12815 из Lecture Notes in Computer Science, стр. 408-420. Springer, (2021)Cross-Pixel Dependency with Boundary-Feature Transformation for Weakly Supervised Semantic Segmentation., , , , и . ICMR, стр. 554-561. ACM, (2022)