Shenyang Huang

According to our database, Shenyang Huang authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs.

Shenyang Huang, Samy Coulombe, Yasmeen Hitti, Reihaneh Rabbany, Guillaume Rabusseau

ACM Trans. Knowl. Discov. Data, April, 2024

ContextGNN: Beyond Two-Tower Recommendation Systems.

Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Dong Wang, Manan Shah, Shenyang Huang, Blaz Stojanovic, Alan Krumholz, Jan Eric Lenssen, Jure Leskovec, Matthias Fey

CoRR, 2024

UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs.

Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi

CoRR, 2024

Towards Neural Scaling Laws for Foundation Models on Temporal Graphs.

Razieh Shirzadkhani, Tran Gia Bao Ngo, Kiarash Shamsi, Shenyang Huang, Farimah Poursafaei, Poupak Azad, Reihaneh Rabbany, Baris Coskunuzer, Guillaume Rabusseau, Cuneyt Gurcan Akcora

CoRR, 2024

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.

Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau

CoRR, 2024

Temporal Graph Rewiring with Expander Graphs.

Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic

CoRR, 2024

MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning.

Kerstin Kläser, Blazej Banaszewski, Samuel Maddrell-Mander, Callum McLean, Luis Müller, Ali Parviz, Shenyang Huang, Andrew W. Fitzgibbon

CoRR, 2024

Temporal Graph Analysis with TGX.

Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

GraphPulse: Topological representations for temporal graph property prediction.

Kiarash Shamsi, Farimah Poursafaei, Shenyang Huang, Tran Gia Bao Ngo, Baris Coskunuzer, Cuneyt Gurcan Akcora

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

GPS++: Reviving the Art of Message Passing for Molecular Property Prediction.

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

Trans. Mach. Learn. Res., 2023

Understanding Opinions Towards Climate Change on Social Media.

Yashaswi Pupneja, Joseph Zou, Sacha Lévy, Shenyang Huang

CoRR, 2023

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.

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

CoRR, 2023

Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations.

Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang

CoRR, 2023

Fast and Attributed Change Detection on Dynamic Graphs with Density of States.

Shenyang Huang, Jacob Danovitch, Guillaume Rabusseau, Reihaneh Rabbany

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Temporal Graph Benchmark for Machine Learning on Temporal Graphs.

Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Towards Better Evaluation for Dynamic Link Prediction.

Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Incorporating dynamic flight network in SEIR to model mobility between populations.

Xiaoye Ding, Shenyang Huang, Abby Leung, Reihaneh Rabbany

Appl. Netw. Sci., 2021

Understanding Capacity Saturation in Incremental Learning.

Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020

Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies.

Abby Leung, Xiaoye Ding, Shenyang Huang, Reihaneh Rabbany

CoRR, 2020

RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning.

Stefano Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata, Guillaume Rabusseau

CoRR, 2020

Laplacian Change Point Detection for Dynamic Graphs.

Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Neural Architecture Search for Class-incremental Learning.

Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau

CoRR, 2019