Shen Lab at Texas A&M University's repositories
DeepAffinity
Protein-compound affinity prediction through unified RNN-CNN
GraphCL_Automated
[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
Drug-Combo-Generator
Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding
GDA-SpecReg
[ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
Bayesian-L2O
[ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
Fold2Seq-icml2021
[ICML 2021] "Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design" by Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen
ncVarPred-1D3D
Multimodal learning of noncoding variant effects using genome sequence and chromatin structure
Signals-and-Systems
Signals and Systems Honors Projects
WSR-PredictPofPathogenicity
A weakly supervised regression approach to directly predict the probability of pathogenicity based on categorized pathogenicity classes
HyperGCL
[NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang