异质网络和图算法
Tutorial Videos
❏ JDHMT模型 (矩阵张量联合分解的图嵌入算法)
❏ FGEM模型 (多截面的深度图结构学习算法)时长: 4’18″/讲解: 中文/字幕:中文
❏ DGGAT模型 (多组学和门控图卷积网络用于驱动基因和功能模块的预测)时长: 10’01″/讲解: 英文/字幕:英文
Developers and References
❏ Main Developers (Alphabet order)
- Data: Yuxing Wang.
- Algorithm: Qi Luo, Qianqian Peng, Xinzhi Yao, Sheng Zhang, Kaiyin Zhou.
❏ References
◆ Kaiyin Zhou, Sheng Zhang, Yuxing Wang, Kevin Bretonnel Cohen, Jin-Dong Kim, Qi Luo, Xinzhi Yao, Xingyu Zhou, Jingbo Xia*. High-quality Gene/Disease Embedding in A Multi-relational Heterogeneous Graph After A Joint Matrix/tensor Decomposition. Journal of Biomedical Informatics. 2022, 126:103973.
◆ Qianqian Peng, Ziming Tang, Xinzhi Yao, Sizhuo Ouyang, Zhihan He, Jingbo Xia*. A Flexible Generative Model for Joint Label-Structure Estimation from Multifaceted Graph Data. In: Jin, Z., Jiang, Y., Buchmann, R.A., Bi, Y., Ghiran, AM., Ma, W. (eds) Knowledge Science, Engineering and Management. KSEM 2023 August 16-18, 2023, Guangzhou, China. Lecture Notes in Computer Science, 2023, vol 14117. Springer, Cham. https://doi.org/10.1007/978-3-031-40283-8_31.
◆ Qianqian Peng, Zhihan He, Shichao Liu, Xinzhi Yao, and Jingbo Xia*. Integrating Multi-omics Data into A Gated Graph Convolutional Networks for Identifying Cancer Driver Genes and Function Modules. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE.