Farnoosh Hashemi
Cited by
Cited by
Graph mamba: Towards learning on graphs with state space models
A Behrouz, F Hashemi
arXiv preprint arXiv:2402.08678, 2024
Firmcore decomposition of multilayer networks
F Hashemi, A Behrouz, LVS Lakshmanan
Proceedings of the ACM Web Conference 2022, 1589-1600, 2022
Cs-mlgcn: Multiplex graph convolutional networks for community search in multiplex networks
A Behrouz, F Hashemi
Proceedings of the 31st ACM International Conference on Information …, 2022
Firmtruss community search in multilayer networks
A Behrouz, F Hashemi, LVS Lakshmanan
arXiv preprint arXiv:2205.00742, 2022
Cs-tgn: Community search via temporal graph neural networks
F Hashemi, A Behrouz, M Rezaei Hajidehi
Companion Proceedings of the ACM Web Conference 2023, 1196-1203, 2023
Green space and happiness of developed countries
SFH Fesharaki, A Behrouz, J Yang, DY Wohn, M Cha
2020 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2020
Misinformation mitigation under differential propagation rates and temporal penalties
M Simpson, F Hashemi, LVS Lakshmanan
Proceedings of the VLDB Endowment 15 (10), 2216-2229, 2022
Unsupervised representation learning of brain activity via bridging voxel activity and functional connectivity
A Behrouz, P Delavari, F Hashemi
Forty-first International Conference on Machine Learning, 2024
CAT-walk: Inductive hypergraph learning via set walks
A Behrouz, F Hashemi, S Sadeghian, M Seltzer
Advances in Neural Information Processing Systems 36, 2024
Learning Temporal Higher-order Patterns to Detect Anomalous Brain Activity
A Behrouz, F Hashemi
Machine Learning for Health (ML4H), 39-51, 2023
Generalized Densest Subgraph in Multiplex Networks
A Behrouz, F Hashemi
International Conference on Complex Networks and Their Applications, 49-61, 2023
A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement
F Hashemi, A Behrouz
arXiv preprint arXiv:2406.13734, 2024
The system can't perform the operation now. Try again later.
Articles 1–12