MrCoM: A Cost Model for Range Query Translation in Deep Web Data Integration. - Fangjiao Jiang; Linlin Jia; Weiyi Meng; Xiaofeng Meng 001 (SKG, 2008)

An Improved BTK Algorithm Based on Cell-Like P System with Active Membranes. - Linlin Jia; Laisheng Xiang; Xiyu Liu 001 (LION, 2018)

A Graph Pre-image Method Based on Graph Edit Distances. - Linlin Jia; Benoit Gaüzère; Paul Honeine (S+SSPR, 2020)

A Metric Learning Approach to Graph Edit Costs for Regression. - Linlin Jia; Benoit Gaüzère; Florian Yger; Paul Honeine (S+SSPR, 2020)

graphkit-learn: A Python library for graph kernels based on linear patterns. - Linlin Jia; Benoit Gaüzère; Paul Honeine (Pattern Recognit. Lett., 2021)

Bridging graph and kernel spaces: a pre-image perspective. (Rapprocher les espaces de graphes et à noyaux: une perspective de la pré-image). - Linlin Jia (2021)

Graph kernels based on linear patterns: Theoretical and experimental comparisons. - Linlin Jia; Benoit Gaüzère; Paul Honeine (Expert Syst. Appl., 2022)

Bridging Distinct Spaces in Graph-Based Machine Learning. - Linlin Jia; Xiao Ning; Benoit Gaüzère; Paul Honeine; Kaspar Riesen (ACPR (2), 2023)

Epi-DNNs: Epidemiological priors informed deep neural networks for modeling COVID-19 dynamics. - Ning Xi 001; Linlin Jia; Yongyue Wei; Xi-An Li 004; Feng Chen (Comput. Biol. Medicine, 2023)

Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network. - Jiaxin Deng; Linlin Jia; Junbiao Pang; Qingming Huang (CoRR, 2024)

Predicting redox potentials by graph-based machine learning methods. - Linlin Jia; Éric Brémond; Larissa Zaida; Benoit Gaüzère; Vincent Tognetti; Laurent Joubert (J. Comput. Chem., 2024)