Shenyang Huang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Neural Architecture

Top Venues

Canadian Conference on AI

Publications

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 (2024)
Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei
Temporal Graph Analysis with TGX. CoRR (2024)
Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic
Temporal Graph Rewiring with Expander Graphs. CoRR (2024)
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 (2024)
Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei
Temporal Graph Analysis with TGX. WSDM (2024)
Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs. CoRR (2024)
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)
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) (2024)
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)
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 (2024)
Shenyang Huang, Jacob Danovitch, Guillaume Rabusseau, Reihaneh Rabbany
Fast and Attributed Change Detection on Dynamic Graphs with Density of States. CoRR (2023)
Yashaswi Pupneja, Joseph Zou, Sacha Lévy, Shenyang Huang
Understanding Opinions Towards Climate Change on Social Media. CoRR (2023)
Shenyang Huang, Samy Coulombe, Yasmeen Hitti, Reihaneh Rabbany, Guillaume Rabusseau
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs. CoRR (2023)
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)
Shenyang Huang, Jacob Danovitch, Guillaume Rabusseau, Reihaneh Rabbany
Fast and Attributed Change Detection on Dynamic Graphs with Density of States. PAKDD (1) (2023)
Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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)
Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany
Towards Better Evaluation for Dynamic Link Prediction. CoRR (2022)
Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany
Towards Better Evaluation for Dynamic Link Prediction. NeurIPS (2022)
Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau
Understanding Capacity Saturation in Incremental Learning. Canadian Conference on AI (2021)
Xiaoye Ding, Shenyang Huang, Abby Leung, Reihaneh Rabbany
Incorporating dynamic flight network in SEIR to model mobility between populations. Appl. Netw. Sci. 6 (1) (2021)
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany
Laplacian Change Point Detection for Dynamic Graphs. KDD (2020)
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany
Laplacian Change Point Detection for Dynamic Graphs. CoRR (2020)
Abby Leung, Xiaoye Ding, Shenyang Huang, Reihaneh Rabbany
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies. CoRR (2020)
Stefano Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata, Guillaume Rabusseau
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning. CoRR (2020)
Xiaoye Ding, Shenyang Huang, Abby Leung, Reihaneh Rabbany
Incorporating Dynamic Flight Network in SEIR to Model Mobility between Populations. CoRR (2020)
Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau
Neural Architecture Search for Class-incremental Learning. CoRR (2019)