Kelin Xia

Orcid: 0000-0003-4183-0943

Affiliations:
  • Nanyang Technological University, Singapore


According to our database1, Kelin Xia authored at least 50 papers between 2011 and 2024.

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Bibliography

2024
Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation.
Comput. Biol. Medicine, February, 2024

KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction.
CoRR, 2024

Molecular topological deep learning for polymer property prediction.
CoRR, 2024

Quotient complex (QC)-based machine learning for 2D perovskite design.
CoRR, 2024

Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction.
CoRR, 2024

Multi-Cover Persistence (MCP)-based machine learning for polymer property prediction.
Briefings Bioinform., 2024

Graph Neural Networks with a Distribution of Parametrized Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations.
J. Chem. Inf. Model., July, 2023

Laplacian Spectra of Persistent Structures in Taiwan, Singapore, and US Stock Markets.
Entropy, June, 2023

Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery.
J. Chem. Inf. Model., May, 2023

Persistent Tor-algebra for protein-protein interaction analysis.
Briefings Bioinform., March, 2023

Molecular geometric deep learning.
CoRR, 2023

Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.
CoRR, 2023

Torsion Graph Neural Networks.
CoRR, 2023

2022
Dowker complex based machine learning (DCML) models for protein-ligand binding affinity prediction.
PLoS Comput. Biol., 2022

<i>Hom</i>-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation.
J. Chem. Inf. Model., 2022

Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis.
Frontiers Comput. Sci., 2022

Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction.
Briefings Bioinform., 2022

Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.
Briefings Bioinform., 2022

Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design.
Briefings Bioinform., 2022

Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation.
Briefings Bioinform., 2022

Persistent-homology-based machine learning: a survey and a comparative study.
Artif. Intell. Rev., 2022

Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction.
Proceedings of the Topological, 2022

2021
Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction.
J. Chem. Inf. Model., 2021

Understanding Changes in the Topology and Geometry of Financial Market Correlations during a Market Crash.
Entropy, 2021

Fast random algorithms for manifold based optimization in reconstructing 3D chromosomal structures.
Commun. Inf. Syst., 2021

Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction.
Briefings Bioinform., 2021

Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design.
Briefings Bioinform., 2021

Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction.
Briefings Bioinform., 2021

Neighborhood Complex Based Machine Learning (NCML) Models for Drug Design.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

2020
Determining Optimal Coarse-Grained Representation for Biomolecules Using Internal Cluster Validation Indexes.
J. Comput. Chem., 2020

Persistent spectral based machine learning (PerSpect ML) for drug design.
CoRR, 2020

2019
Understanding Attack Trends from Security Blog Posts Using Guided-topic Model.
J. Inf. Process., 2019

A Malicious Web Site Identification Technique Using Web Structure Clustering.
IEICE Trans. Inf. Syst., 2019

2018
Persistent similarity for biomolecular structure comparison.
Commun. Inf. Syst., 2018

2017
Geometric and electrostatic modeling using molecular rigidity functions.
J. Comput. Appl. Math., 2017

Finite volume formulation of the MIB method for elliptic interface problems.
J. Comput. Appl. Math., 2017

2016
Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis.
J. Comput. Chem., 2016

2015
Second order method for solving 3D elasticity equations with complex interfaces.
J. Comput. Phys., 2015

Multidimensional persistence in biomolecular data.
J. Comput. Chem., 2015

Persistent homology for the quantitative prediction of fullerene stability.
J. Comput. Chem., 2015

Multiresolution Topological Simplification.
J. Comput. Biol., 2015

Matched interface and boundary method for elasticity interface problems.
J. Comput. Appl. Math., 2015

2014
Multiscale geometric modeling of macromolecules I: Cartesian representation.
J. Comput. Phys., 2014

MIB Galerkin method for elliptic interface problems.
J. Comput. Appl. Math., 2014

A Galerkin formulation of the MIB method for three dimensional elliptic interface problems.
Comput. Math. Appl., 2014

2013
Multiscale geometric modeling of macromolecules II: Lagrangian representation.
J. Comput. Chem., 2013

2012
Variational Multiscale Models for Charge Transport.
SIAM Rev., 2012

Adaptively deformed mesh based interface method for elliptic equations with discontinuous coefficients.
J. Comput. Phys., 2012

2011
MIB method for elliptic equations with multi-material interfaces.
J. Comput. Phys., 2011


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