Jiahua Rao
Orcid: 0000-0002-6840-8198
According to our database1,
Jiahua Rao
authored at least 21 papers
between 2019 and 2024.
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Bibliography
2024
Nat. Comput. Sci., November, 2024
Predicting disease-gene associations through self-supervised mutual infomax graph convolution network.
Comput. Biol. Medicine, March, 2024
Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph.
J. Chem. Inf. Model., 2024
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks.
CoRR, 2024
Interpretable Drug Response Prediction through Molecule Structure-aware and Knowledge-Guided Visible Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
Patterns, 2022
Quantitative evaluation of explainable graph neural networks for molecular property prediction.
Patterns, 2022
J. Comput. Sci. Technol., 2022
Briefings Bioinform., 2022
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
Briefings Bioinform., July, 2021
Learning Attributed Graph Representations with Communicative Message Passing Transformer.
CoRR, 2021
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction.
CoRR, 2021
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction.
Comput. Biol. Medicine, 2021
Learning Attributed Graph Representation with Communicative Message Passing Transformer.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks.
J. Chem. Inf. Model., 2020
Accurate prediction of genome-wide RNA secondary structure profile based on extreme gradient boosting.
Bioinform., 2020
Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
CoRR, 2019