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Shenyang Huang
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2020 – today
- 2024
- [j3]Shenyang Huang
, Samy Coulombe
, Yasmeen Hitti
, Reihaneh Rabbany
, Guillaume Rabusseau
:
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs. ACM Trans. Knowl. Discov. Data 18(3): 63:1-63:32 (2024) - [c8]Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 2024 - [c7]Kiarash Shamsi, Farimah Poursafaei, Shenyang Huang, Tran Gia Bao Ngo, Baris Coskunuzer, Cuneyt Gurcan Akcora:
GraphPulse: Topological representations for temporal graph property prediction. ICLR 2024 - [c6]Razieh Shirzadkhani
, Shenyang Huang
, Elahe Kooshafar
, Reihaneh Rabbany
, Farimah Poursafaei
:
Temporal Graph Analysis with TGX. WSDM 2024: 1086-1089 - [i18]Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei:
Temporal Graph Analysis with TGX. CoRR abs/2402.03651 (2024) - [i17]Kerstin Kläser, Blazej Banaszewski, Samuel Maddrell-Mander, Callum McLean, Luis Müller, Ali Parviz, Shenyang Huang, Andrew W. Fitzgibbon:
MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning. CoRR abs/2404.14986 (2024) - [i16]Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic:
Temporal Graph Rewiring with Expander Graphs. CoRR abs/2406.02362 (2024) - [i15]Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau:
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. CoRR abs/2406.09639 (2024) - [i14]Razieh Shirzadkhani, Tran Gia Bao Ngo, Kiarash Shamsi, Shenyang Huang, Farimah Poursafaei, Poupak Azad, Reihaneh Rabbany, Baris Coskunuzer, Guillaume Rabusseau, Cuneyt Gurcan Akcora:
Towards Neural Scaling Laws for Foundation Models on Temporal Graphs. CoRR abs/2406.10426 (2024) - 2023
- [j2]Dominic Masters, Josef Dean, Kerstin Kläser, Zhiyi Li, Samuel Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W. Fitzgibbon, Shenyang Huang, Ladislav Rampásek, Dominique Beaini:
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany:
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. NeurIPS 2023 - [c4]Shenyang Huang
, Jacob Danovitch
, Guillaume Rabusseau
, Reihaneh Rabbany
:
Fast and Attributed Change Detection on Dynamic Graphs with Density of States. PAKDD (1) 2023: 15-26 - [i13]Shenyang Huang, Samy Coulombe, Yasmeen Hitti, Reihaneh Rabbany, Guillaume Rabusseau:
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs. CoRR abs/2302.01204 (2023) - [i12]Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W. Fitzgibbon, Shenyang Huang, Ladislav Rampásek, Dominique Beaini:
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction. CoRR abs/2302.02947 (2023) - [i11]Shenyang Huang, Jacob Danovitch, Guillaume Rabusseau, Reihaneh Rabbany:
Fast and Attributed Change Detection on Dynamic Graphs with Density of States. CoRR abs/2305.08750 (2023) - [i10]Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany:
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. CoRR abs/2307.01026 (2023) - [i9]Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang:
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations. CoRR abs/2308.07883 (2023) - [i8]Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR abs/2310.04292 (2023) - [i7]Yashaswi Pupneja, Joseph Zou, Sacha Lévy, Shenyang Huang:
Understanding Opinions Towards Climate Change on Social Media. CoRR abs/2312.01217 (2023) - 2022
- [c3]Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany:
Towards Better Evaluation for Dynamic Link Prediction. NeurIPS 2022 - [i6]Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany:
Towards Better Evaluation for Dynamic Link Prediction. CoRR abs/2207.10128 (2022) - 2021
- [j1]Xiaoye Ding, Shenyang Huang, Abby Leung, Reihaneh Rabbany
:
Incorporating dynamic flight network in SEIR to model mobility between populations. Appl. Netw. Sci. 6(1): 42 (2021) - [c2]Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau:
Understanding Capacity Saturation in Incremental Learning. Canadian AI 2021 - 2020
- [c1]Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany:
Laplacian Change Point Detection for Dynamic Graphs. KDD 2020: 349-358 - [i5]Stefano Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata, Guillaume Rabusseau:
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning. CoRR abs/2003.01181 (2020) - [i4]Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany:
Laplacian Change Point Detection for Dynamic Graphs. CoRR abs/2007.01229 (2020) - [i3]Xiaoye Ding, Shenyang Huang, Abby Leung, Reihaneh Rabbany:
Incorporating Dynamic Flight Network in SEIR to Model Mobility between Populations. CoRR abs/2010.01408 (2020) - [i2]Abby Leung, Xiaoye Ding, Shenyang Huang, Reihaneh Rabbany:
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies. CoRR abs/2010.03081 (2020)
2010 – 2019
- 2019
- [i1]Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau:
Neural Architecture Search for Class-incremental Learning. CoRR abs/1909.06686 (2019)
Coauthor Index
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last updated on 2024-08-08 20:15 CEST by the dblp team
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