Parviz, Ali

10 publications

ICML 2025 Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz, Ali Parviz, Mahdi Karami, Clayton Sanford, Bryan Perozzi, Vahab Mirrokni

ICLRW 2025 Effectively Designing 2-Dimensional Sequence Models for Multivariate Time Series Daniel Yiming Cao, Ali Behrouz, Ali Parviz, Mahdi Karami, Michele Santacatterina, Ramin Zabih

NeurIPS 2025 Scalable and Cost-Efficient De Novo Template-Based Molecular Generation Piotr Gaiński, Oussama Boussif, Andrei Rekesh, Dmytro Shevchuk, Ali Parviz, Mike Tyers, Robert A. Batey, Michał Koziarski

ICLRW 2025 Scalable and Cost-Efficient De Novo Template-Based Molecular Generation Piotr Gaiński, Oussama Boussif, Dmytro Shevchuk, Andrei Rekesh, Ali Parviz, Mike Tyers, Robert A. Batey, Michał Koziarski

ICMLW 2024 MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning Kerstin Klaser, Blazej Banaszewski, Samuel Maddrell-Mander, Callum McLean, Luis Müller, Ali Parviz, Shenyang Huang, Andrew W Fitzgibbon

NeurIPS 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

ICLR 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, Michał 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

ICLRW 2022 Ensemble Learning as a Peer Process Ehsan Beikihassan, Ali Parviz, Amy K Hoover, Ioannis Koutis

NeurIPSW 2022 Generalized Laplacian Positional Encoding for Graph Representation Learning Sohir Maskey, Ali Parviz, Maximilian Thiessen, Hannes Stärk, Ylli Sadikaj, Haggai Maron

NeurIPS 2022 Long Range Graph Benchmark Vijay Prakash Dwivedi, Ladislav Rampášek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini