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Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective.

, , , , , , and . WWW (Companion Volume), page 790-793. ACM, (2024)

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Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective., , , , , , and . CoRR, (2024)Learning Attribute-Structure Co-Evolutions in Dynamic Graphs., , , , , , and . CoRR, (2020)RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers., , , , and . RE, page 153-165. IEEE, (2022)Graph-based Molecular Representation Learning., , , , , , , , , and 1 other author(s). IJCAI, page 6638-6646. ijcai.org, (2023)Class-Imbalanced Learning on Graphs: A Survey., , , and . CoRR, (2023)Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting., , , , and . CIKM, page 1481-1490. ACM, (2022)Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows., , , and . IEEE Intell. Syst., 38 (2): 46-54 (March 2023)Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks., , , , , and . IJCAI, page 3473-3479. ijcai.org, (2022)HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks., , , , and . CoRR, (2023)Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence., , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (2): 1817-1830 (2023)