Maysam Behmanesh

12 papers A* 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors.
CoRR
Erkan Turan, Gaspard Abel, Maysam Behmanesh, Emery Pierson, Maks Ovsjanikov
2025 J jnl
Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication.
CoRR
Maysam Behmanesh, Erkan Turan, Maks Ovsjanikov
2024 J jnl
Cross-modal and multimodal data analysis based on functional mapping of spectral descriptors and manifold regularization.
Neurocomputing
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani
2024 J jnl
Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network.
IEEE Trans. Neural Networks Learn. Syst.
Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot
2024 — conf
Smoothed Graph Contrastive Learning via Seamless Proximity Integration.
LoG
Maysam Behmanesh, Maks Ovsjanikov
2024 J jnl
Smoothed Graph Contrastive Learning via Seamless Proximity Integration.
CoRR
Maysam Behmanesh, Maks Ovsjanikov
2023 A* conf
TIDE: Time Derivative Diffusion for Deep Learning on Graphs.
ICML
Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov
2022 J jnl
TIDE: Time Derivative Diffusion for Deep Learning on Graphs.
CoRR
Maximilian Krahn, Maysam Behmanesh, Maks Ovsjanikov
2021 J jnl
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization.
CoRR
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani
2021 J jnl
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network.
CoRR
Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot
2021 J jnl
Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization.
IEEE Trans. Signal Process.
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Christian Jutten, Sayyed Mohammad Saeed Ehsani
2021 J jnl
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification.
CoRR
Maysam Behmanesh, Peyman Adibi, Hossein Karshenas