Obserwuj
Shenyang Huang
Shenyang Huang
McGill University, Montreal Institute for Learning Algorithms (Mila)
Zweryfikowany adres z mail.mcgill.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Towards better evaluation for dynamic link prediction
F Poursafaei, S Huang, K Pelrine, R Rabbany
Advances in Neural Information Processing Systems 35, 32928-32941, 2022
1062022
Temporal graph benchmark for machine learning on temporal graphs
S Huang, F Poursafaei, J Danovitch, M Fey, W Hu, E Rossi, J Leskovec, ...
Advances in Neural Information Processing Systems 36, 2024
942024
Laplacian change point detection for dynamic graphs
S Huang, Y Hitti, G Rabusseau, R Rabbany
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
662020
Towards foundational models for molecular learning on large-scale multi-task datasets
D Beaini, S Huang, JA Cunha, Z Li, G Moisescu-Pareja, O Dymov, ...
arXiv preprint arXiv:2310.04292, 2023
252023
Incorporating dynamic flight network in SEIR to model mobility between populations
X Ding, S Huang, A Leung, R Rabbany
Applied Network Science 6 (1), 42, 2021
242021
Neural architecture search for class-incremental learning
S Huang, V François-Lavet, G Rabusseau
arXiv preprint arXiv:1909.06686, 2019
142019
Gps++: Reviving the art of message passing for molecular property prediction
D Masters, J Dean, K Klaser, Z Li, S Maddrell-Mander, A Sanders, H Helal, ...
arXiv preprint arXiv:2302.02947, 2023
92023
RandomNet: Towards fully automatic neural architecture design for multimodal learning
S Alletto, S Huang, V Francois-Lavet, Y Nakata, G Rabusseau
arXiv preprint arXiv:2003.01181, 2020
92020
Contact graph epidemic modelling of covid-19 for transmission and intervention strategies
A Leung, X Ding, S Huang, R Rabbany
arXiv preprint arXiv:2010.03081, 2020
72020
Laplacian change point detection for single and multi-view dynamic graphs
S Huang, S Coulombe, Y Hitti, R Rabbany, G Rabusseau
ACM Transactions on Knowledge Discovery from Data 18 (3), 1-32, 2024
62024
Fast and attributed change detection on dynamic graphs with density of states
S Huang, J Danovitch, G Rabusseau, R Rabbany
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 15-26, 2023
62023
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
J Gastinger, S Huang, M Galkin, E Loghmani, A Parviz, F Poursafaei, ...
arXiv preprint arXiv:2406.09639, 2024
42024
Towards temporal edge regression: A case study on agriculture trade between nations
L Jiang, C Zhang, F Poursafaei, S Huang
arXiv preprint arXiv:2308.07883, 2023
42023
Understanding Capacity Saturation in Incremental Learning.
S Huang, V Francois-Lavet, G Rabusseau
Canadian AI, 2021
42021
Temporal Graph Rewiring with Expander Graphs
K Petrović, S Huang, F Poursafaei, P Veličković
arXiv preprint arXiv:2406.02362, 2024
22024
GraphPulse: Topological representations for temporal graph property prediction
K Shamsi, F Poursafaei, S Huang, BTG Ngo, B Coskunuzer, CG Akcora
The Twelfth International Conference on Learning Representations, 2024
22024
Static graph approximations of dynamic contact networks for epidemic forecasting
R Shirzadkhani, S Huang, A Leung, R Rabbany
Scientific Reports 14 (1), 11696, 2024
12024
Temporal Graph Analysis with TGX
R Shirzadkhani, S Huang, E Kooshafar, R Rabbany, F Poursafaei
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
12024
Minimol: A parameter-efficient foundation model for molecular learning
K Klaser, B Banaszewski, S Maddrell-Mander, C McLean, L Müller, ...
ICML 2024 Workshop on Efficient and Accessible Foundation Models for …, 2024
12024
Few Shot Image Generation via Implicit Autoencoding of Support Sets
A Huang, KC Wang, G Rabusseau, A Makhzani
Fifth Workshop on Meta-Learning at the Conference on Neural Information …, 2021
12021
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20