Copertina

Can Molecular Evolution Mechanism Enhance Molecular Representation?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Kun, Hu, Longtao, Cai, Xiantao, Wu, Jia, Hu, Wenbin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Biomolecules Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
di: Kim, Hyeonah, et al.
Pubblicazione: (2024)

Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training
di: Luo, Xiaoling, et al.
Pubblicazione: (2025)

Spiking Neural Networks for Mental Workload Classification with a Multimodal Approach
di: An, Jiahui, et al.
Pubblicazione: (2025)

LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides
di: Maroni, Gabriele, et al.
Pubblicazione: (2024)

Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation
di: N, Siddartha Reddy, et al.
Pubblicazione: (2024)

Latent Chemical Space Searching for Plug-in Multi-objective Molecule Generation
di: Liu, Ningfeng, et al.
Pubblicazione: (2024)

PCEvo: Path-Consistent Molecular Representation via Virtual Evolutionary
di: Li, Kun, et al.
Pubblicazione: (2026)

Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure
di: Xu, Shengjie, et al.
Pubblicazione: (2024)

Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
di: Liu, Dan-Xuan, et al.
Pubblicazione: (2024)

PRIMRose: Insights into the Per-Residue Energy Metrics of Proteins with Double InDel Mutations using Deep Learning
di: Brown, Stella, et al.
Pubblicazione: (2025)

Human-level molecular optimization driven by mol-gene evolution
di: Fang, Jiebin, et al.
Pubblicazione: (2024)

Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
di: Bal, Melis Ilayda, et al.
Pubblicazione: (2024)

Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities
di: Li, Kun, et al.
Pubblicazione: (2025)

Fragment-Masked Diffusion for Molecular Optimization
di: Li, Kun, et al.
Pubblicazione: (2024)

Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning
di: Guo, Hongshu, et al.
Pubblicazione: (2025)

Symbolic Neural Generation with Applications to Lead Discovery in Drug Design
di: Srinivasan, Ashwin, et al.
Pubblicazione: (2025)

Composite FORCE learning of chaotic echo state networks for time-series prediction
di: Li, Yansong, et al.
Pubblicazione: (2022)

A Neural Network Training Method Based on Neuron Connection Coefficient Adjustments
di: Jiang, Kun
Pubblicazione: (2025)

The Stacked Autoencoder Evolution Hypothesis
di: Iizuka, Hiroyuki
Pubblicazione: (2026)

Robust MAE-Driven NAS: From Mask Reconstruction to Architecture Innovation
di: Hu, Yiming, et al.
Pubblicazione: (2023)

An Approach to Analyze Niche Evolution in XCS Models
di: Lanzi, Pier Luca
Pubblicazione: (2025)

The Evolution of Learning Algorithms for Artificial Neural Networks
di: Baxter, Jonathan
Pubblicazione: (2025)

Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification
di: Pei, Wenbin, et al.
Pubblicazione: (2026)

Foxtsage vs. Adam: Revolution or Evolution in Optimization?
di: Aula, Sirwan A., et al.
Pubblicazione: (2024)

The Deep Learning model of Higher-Lower-Order Cognition, Memory, and Affection- More General Than KAN
di: Tao, Jun-Bo, et al.
Pubblicazione: (2022)

Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning
di: Lorenc, Matyáš, et al.
Pubblicazione: (2025)

Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
di: Gao, Chengqian, et al.
Pubblicazione: (2024)

Multiple Population Alternate Evolution Neural Architecture Search
di: Zou, Juan, et al.
Pubblicazione: (2024)

Investigating Quantum Circuit Designs Using Neuro-Evolution
di: Kar, Devroop, et al.
Pubblicazione: (2026)

Guided Evolution with Binary Discriminators for ML Program Search
di: Co-Reyes, John D., et al.
Pubblicazione: (2024)

LLM Guided Evolution -- The Automation of Models Advancing Models
di: Morris, Clint, et al.
Pubblicazione: (2024)

EvIL: Evolution Strategies for Generalisable Imitation Learning
di: Sapora, Silvia, et al.
Pubblicazione: (2024)

On the Universal Representation Property of Spiking Neural Networks
di: Hundrieser, Shayan, et al.
Pubblicazione: (2025)

Recurrent Distance Filtering for Graph Representation Learning
di: Ding, Yuhui, et al.
Pubblicazione: (2023)

PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution
di: Yan, Minghao, et al.
Pubblicazione: (2026)

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces
di: Fu, Rong, et al.
Pubblicazione: (2026)

Online Continual Learning via Spiking Neural Networks with Sleep Enhanced Latent Replay
di: Lin, Erliang, et al.
Pubblicazione: (2025)

Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning
di: Lorenc, Matyáš, et al.
Pubblicazione: (2025)

Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation
di: Hasan, Yumnah, et al.
Pubblicazione: (2024)

Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
di: Pei, Yunhua, et al.
Pubblicazione: (2024)