Epi-DNNs: Epidemiological priors informed deep neural networks for modeling COVID-19 dynamics X Ning, L Jia, Y Wei, XA Li, F Chen Computers in biology and medicine 158, 106693, 2023 | 21 | 2023 |
Graph kernels based on linear patterns: theoretical and experimental comparisons L Jia, B Gaüzère, P Honeine Expert Systems with Applications 189, 116095, 2022 | 19 | 2022 |
graphkit-learn: A Python library for graph kernels based on linear patterns L Jia, B Gaüzère, P Honeine Pattern Recognition Letters 143, 113-121, 2021 | 13 | 2021 |
A graph pre-image method based on graph edit distances L Jia, B Gaüzère, P Honeine Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2021 | 9 | 2021 |
A metric learning approach to graph edit costs for regression L Jia, B Gaüzère, F Yger, P Honeine Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2021 | 6 | 2021 |
Bridging graph and kernel spaces: a pre-image perspective L Jia Normandie Université, 2021 | 2 | 2021 |
Bridging Distinct Spaces in Graph-Based Machine Learning L Jia, X Ning, B Gaüzère, P Honeine, K Riesen Asian Conference on Pattern Recognition, 1-14, 2023 | 1 | 2023 |
A Study on the Stability of Graph Edit Distance Heuristics L Jia, V Tognetti, L Joubert, B Gaüzère, P Honeine Electronics 11 (20), 3312, 2022 | 1 | 2022 |
Predicting redox potentials by graph‐based machine learning methods L Jia, É Brémond, L Zaida, B Gaüzère, V Tognetti, L Joubert Journal of computational chemistry 45 (28), 2383-2396, 2024 | | 2024 |
graphkit-learn Documentation L Jia | | 2024 |