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ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario.

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RRAM-PoolFormer: A Resistive Memristor-based PoolFormer Modeling and Training Framework for Edge-AI Applications., , , , , and . ISCAS, page 1-5. IEEE, (2023)Lorentz Equivariant Model for Knowledge-Enhanced Collaborative Filtering., , , , and . CoRR, (2023)Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems., , , , and . ECML/PKDD (3), volume 14171 of Lecture Notes in Computer Science, page 325-340. Springer, (2023)Receptive Fields As Experts in Convolutional Neural Architectures., , and . ICML, OpenReview.net, (2024)Learning from Interpretable Analysis: Attention-Based Knowledge Tracing., , , , , and . AIED (2), volume 12164 of Lecture Notes in Computer Science, page 364-368. Springer, (2020)AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling., , , , , and . MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 393-402. Springer, (2023)Heterogeneous Graph Learning for Visual Commonsense Reasoning., , , , and . NeurIPS, page 2765-2775. (2019)Inception Transformer., , , , , and . NeurIPS, (2022)GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation., , , , , , and . CoRR, (2024)ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario., , , , , and . CoRR, (2022)