Jiahua Rao

Orcid: 0000-0002-6840-8198

According to our database1, Jiahua Rao authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

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

2023
Retrieval-based Knowledge Augmented Vision Language Pre-training.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Integrating supercomputing and artificial intelligence for life science.
Patterns, 2022

Quantitative evaluation of explainable graph neural networks for molecular property prediction.
Patterns, 2022

Imputing DNA Methylation by Transferred Learning Based Neural Network.
J. Comput. Sci. Technol., 2022

AlphaFold2-aware protein-DNA binding site prediction using graph transformer.
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
PharmKG: a dedicated knowledge graph benchmark for bomedical data mining.
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
Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks.
CoRR, 2019


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