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Ali Parviz
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Long range graph benchmark
VP Dwivedi, L Rampášek, M Galkin, A Parviz, G Wolf, AT Luu, D Beaini
Advances in Neural Information Processing Systems 35, 22326-22340, 2022
1912022
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
152023
Generalized laplacian positional encoding for graph representation learning
S Maskey, A Parviz, M Thiessen, H Stärk, Y Sadikaj, H Maron
arXiv preprint arXiv:2210.15956, 2022
92022
Reducing the cost of quantum chemical data by backpropagating through density functional theory
A Mathiasen, H Helal, P Balanca, A Krzywaniak, A Parviz, F Hvilshøj, ...
arXiv preprint arXiv:2402.04030, 2024
32024
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
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
Resource-constrained knowledge diffusion processes inspired by human peer learning
E Beikihassan, AK Hoover, I Koutis, A Parviz, N Aghaieabiane
26th European Conference on Artificial Intelligence ECAI 2023 372, 214 - 222, 2023
12023
Ensemble learning as a peer process
E Beikihassan, A Hoover, I Koutis, A Parviz
Agent Learning in Open-Endedness (ALOE) Workshop. ICRL 2022, 2022
12022
: A Parameter-Efficient Foundation Model for Molecular Learning
K Kläser, B Banaszewski, S Maddrell-Mander, C McLean, L Müller, ...
arXiv preprint arXiv:2404.14986, 2024
2024
Neurally boosted supervised spectral clustering
A Parviz, I Koutis
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Articles 1–10