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MoDNA: motif-oriented pre-training for DNA language model.

, , , , , , и . BCB, стр. 5:1-5:5. ACM, (2022)

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Jian Bian

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Learning Neural Set Functions Under the Optimal Subset Oracle., , , , , и . NeurIPS, (2022)Not All Low-Pass Filters are Robust in Graph Convolutional Networks., , , , , , , и . NeurIPS, стр. 25058-25071. (2021)From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 8388-8397. PMLR, (2020)On Self-Distilling Graph Neural Network., , , , , и . IJCAI, стр. 2278-2284. ijcai.org, (2021)p-Laplacian Based Graph Neural Networks., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 6878-6917. PMLR, (2022)MoDNA: motif-oriented pre-training for DNA language model., , , , , , и . BCB, стр. 5:1-5:5. ACM, (2022)ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery., , , , , , , , , и 4 other автор(ы). CoRR, (2022)Fairness-guided Few-shot Prompting for Large Language Models., , , , , , , , , и . CoRR, (2023)Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes., , , , , и . CoRR, (2023)Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery?, , , , , и . CoRR, (2022)