Linlin Jia

12 papers Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Decentralized Federated Learning with Node Incentive and Role Switching Mechanism for Network Traffic Prediction in NFV Environment.
Symmetry
Ying Hu, Ben Liu, Jianyong Li, Linlin Jia
2024 J jnl
Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network.
CoRR
Jiaxin Deng, Linlin Jia, Junbiao Pang, Qingming Huang
2024 J jnl
Predicting redox potentials by graph-based machine learning methods.
J. Comput. Chem.
Linlin Jia, Éric Brémond, Larissa Zaida, Benoit Gaüzère, Vincent Tognetti, Laurent Joubert
2023 — conf
Bridging Distinct Spaces in Graph-Based Machine Learning.
ACPR (2)
Linlin Jia, Xiao Ning, Benoit Gaüzère, Paul Honeine, Kaspar Riesen
2023 J jnl
Epi-DNNs: Epidemiological priors informed deep neural networks for modeling COVID-19 dynamics.
Comput. Biol. Medicine
Ning Xi, Linlin Jia, Yongyue Wei, Xi-An Li, Feng Chen
2022 J jnl
Graph kernels based on linear patterns: Theoretical and experimental comparisons.
Expert Syst. Appl.
Linlin Jia, Benoit Gaüzère, Paul Honeine
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 J jnl
graphkit-learn: A Python library for graph kernels based on linear patterns.
Pattern Recognit. Lett.
Linlin Jia, Benoit Gaüzère, Paul Honeine
2020 — conf
A Graph Pre-image Method Based on Graph Edit Distances.
S+SSPR
Linlin Jia, Benoit Gaüzère, Paul Honeine
2020 — conf
A Metric Learning Approach to Graph Edit Costs for Regression.
S+SSPR
Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine
2018 — conf
An Improved BTK Algorithm Based on Cell-Like P System with Active Membranes.
LION
Linlin Jia, Laisheng Xiang, Xiyu Liu
2008 — conf
MrCoM: A Cost Model for Range Query Translation in Deep Web Data Integration.
SKG
Fangjiao Jiang, Linlin Jia, Weiyi Meng, Xiaofeng Meng