In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative Small-Molecule Creation
- Seung Gu Kang
- Jeff Weber
- et al.
- 2022
- arXiv
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Analysis of Training and Seed Bias in Small Molecules Generated with a Conditional Graph-Based Variational Autoencoder─Insights for Practical AI-Driven Molecule Generation
- Seung-Gu Kang
- Joseph A. Morrone
- et al.
- 2022
- J. Chem. Inf. Model.
A Systematic Survey on Deep Generative Models for Graph Generation
- Xiaojie Guo
- Liang Zhao
- 2021
- IEEE TPAMI
Pattern detection in the activation space for identifying synthesized content
- Celia Cintas
- Skyler Speakman
- et al.
- 2021
- Pattern Recognition Letters
Self-Supervised Ground-Roll Noise Attenuation Using Self-Labeling and Paired Data Synthesis
- Dário Augusto Borges Oliveira
- Daniil G. Semin
- et al.
- 2021
- IEEE TGRS
Practical Adversarial Robustness in Deep Learning: Problems and Solutions
- Pin-Yu Chen
- Sayak Paul
- 2021
- CVPR 2021
Trends in deep learning for property-driven drug design
- Jannis Born
- Matteo Manica
- 2021
- Current Medicinal Chemistry
From disjoint sets to parallel data to train seq2seq models for sentiment transfer
- Paulo Cavalin
- Marisa Vasconcelos
- et al.
- 2020
- EMNLP 2020
Pushing the Limits of AMR Parsing with Self-Learning
- Young-Suk Lee
- Ramón Fernandez Astudillo
- et al.
- 2020
- EMNLP 2020
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
- Meisam Razaviyayn
- Tianjian Huang
- et al.
- 2020
- IEEE SPM