Similar Items
End-to-end differentiable network traffic simulation with dynamic route choice
by: Seo, Toru
Published: (2026)
by: Seo, Toru
Published: (2026)
Graph neural networks for residential location choice: connection to classical logit models
by: Cheng, Zhanhong, et al.
Published: (2025)
by: Cheng, Zhanhong, et al.
Published: (2025)
Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework
by: Zheng, Shuwen, et al.
Published: (2024)
by: Zheng, Shuwen, et al.
Published: (2024)
An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks
by: Hernandez, Jose Ignacio, et al.
Published: (2024)
by: Hernandez, Jose Ignacio, et al.
Published: (2024)
The logic of rational graph neural networks
by: Khalife, Sammy
Published: (2023)
by: Khalife, Sammy
Published: (2023)
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization
by: Feng, Siqi, et al.
Published: (2024)
by: Feng, Siqi, et al.
Published: (2024)
Temporal social network modeling of mobile connectivity data with graph neural networks
by: Jaskari, Joel, et al.
Published: (2025)
by: Jaskari, Joel, et al.
Published: (2025)
Development of a graph neural network surrogate for travel demand modelling
by: Makarov, Nikita, et al.
Published: (2024)
by: Makarov, Nikita, et al.
Published: (2024)
Metalearning traffic assignment for network disruptions with graph convolutional neural networks
by: Agriesti, Serio, et al.
Published: (2026)
by: Agriesti, Serio, et al.
Published: (2026)
On the power of graph neural networks and the role of the activation function
by: Khalife, Sammy, et al.
Published: (2023)
by: Khalife, Sammy, et al.
Published: (2023)
Do graph neural network states contain graph properties?
by: Pelletreau-Duris, Tom, et al.
Published: (2024)
by: Pelletreau-Duris, Tom, et al.
Published: (2024)
A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
by: Domingo, L., et al.
Published: (2023)
by: Domingo, L., et al.
Published: (2023)
Prototype-enhanced prediction in graph neural networks for climate applications
by: Keshtmand, Nawid, et al.
Published: (2025)
by: Keshtmand, Nawid, et al.
Published: (2025)
Fast instance-specific algorithm configuration with graph neural network
by: Aihara, Shingo, et al.
Published: (2025)
by: Aihara, Shingo, et al.
Published: (2025)
Leveraging graph neural networks for supporting Automatic Triage of Patients
by: Defilippo, Annamaria, et al.
Published: (2024)
by: Defilippo, Annamaria, et al.
Published: (2024)
Applying graph neural network to SupplyGraph for supply chain network
by: Han, Kihwan
Published: (2024)
by: Han, Kihwan
Published: (2024)
Generating adversarial inputs for a graph neural network model of AC power flow
by: Parker, Robert
Published: (2026)
by: Parker, Robert
Published: (2026)
A survey of dynamic graph neural networks
by: Zheng, Yanping, et al.
Published: (2024)
by: Zheng, Yanping, et al.
Published: (2024)
Research on the application of graph data structure and graph neural network in node classification/clustering tasks
by: Wang, Yihan, et al.
Published: (2025)
by: Wang, Yihan, et al.
Published: (2025)
Warm-starting active-set solvers using graph neural networks
by: Schmidtobreick, Ella J., et al.
Published: (2025)
by: Schmidtobreick, Ella J., et al.
Published: (2025)
Predicting fluid-structure interaction with graph neural networks
by: Gao, Rui, et al.
Published: (2022)
by: Gao, Rui, et al.
Published: (2022)
Learning the dynamics of a one-dimensional plasma model with graph neural networks
by: Carvalho, Diogo D, et al.
Published: (2023)
by: Carvalho, Diogo D, et al.
Published: (2023)
An axiomatized PDE model of deep neural networks
by: Wang, Tangjun, et al.
Published: (2023)
by: Wang, Tangjun, et al.
Published: (2023)
Differential equation and probability inspired graph neural networks for latent variable learning
by: Shi, Zhuangwei
Published: (2022)
by: Shi, Zhuangwei
Published: (2022)
Learning to accelerate distributed ADMM using graph neural networks
by: Doerks, Henri, et al.
Published: (2025)
by: Doerks, Henri, et al.
Published: (2025)
Robustness questions the interpretability of graph neural networks: what to do?
by: Lukyanov, Kirill, et al.
Published: (2025)
by: Lukyanov, Kirill, et al.
Published: (2025)
Learnable quantum spectral filters for hybrid graph neural networks
by: Daskin, Ammar
Published: (2025)
by: Daskin, Ammar
Published: (2025)
sHGCN: Simplified hyperbolic graph convolutional neural networks
by: Arévalo, Pol, et al.
Published: (2025)
by: Arévalo, Pol, et al.
Published: (2025)
A graph neural network based on feature network for identifying influential nodes
by: Hu, Yanmei, et al.
Published: (2025)
by: Hu, Yanmei, et al.
Published: (2025)
RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehicles
by: Akman, Ahmet Onur, et al.
Published: (2025)
by: Akman, Ahmet Onur, et al.
Published: (2025)
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning
by: Jain, Isha, et al.
Published: (2024)
by: Jain, Isha, et al.
Published: (2024)
A novel hybrid time-varying graph neural network for traffic flow forecasting
by: Dai, Ben-Ao, et al.
Published: (2024)
by: Dai, Ben-Ao, et al.
Published: (2024)
Thermodynamics-informed graph neural networks for real-time simulation of digital human twins
by: Tesán, Lucas, et al.
Published: (2024)
by: Tesán, Lucas, et al.
Published: (2024)
Universal and efficient graph neural networks with dynamic attention for machine learning interatomic potentials
by: Bi, Shuyu, et al.
Published: (2026)
by: Bi, Shuyu, et al.
Published: (2026)
A graph neural network based chemical mechanism reduction method for combustion applications
by: Padiyar, Manuru Nithin, et al.
Published: (2026)
by: Padiyar, Manuru Nithin, et al.
Published: (2026)
MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
by: Abate, Carlo, et al.
Published: (2024)
by: Abate, Carlo, et al.
Published: (2024)
Decomposing heterogeneous dynamical systems with graph neural networks
by: Allier, Cédric, et al.
Published: (2024)
by: Allier, Cédric, et al.
Published: (2024)
Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
by: Zhang, Yatao, et al.
Published: (2024)
by: Zhang, Yatao, et al.
Published: (2024)
A unifying primary framework for quantum graph neural networks from quantum graph states
by: Daskin, Ammar
Published: (2024)
by: Daskin, Ammar
Published: (2024)
Uncertainty propagation in feed-forward neural network models
by: Diamzon, Jeremy, et al.
Published: (2025)
by: Diamzon, Jeremy, et al.
Published: (2025)
Similar Items
-
End-to-end differentiable network traffic simulation with dynamic route choice
by: Seo, Toru
Published: (2026) -
Graph neural networks for residential location choice: connection to classical logit models
by: Cheng, Zhanhong, et al.
Published: (2025) -
Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework
by: Zheng, Shuwen, et al.
Published: (2024) -
An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks
by: Hernandez, Jose Ignacio, et al.
Published: (2024) -
The logic of rational graph neural networks
by: Khalife, Sammy
Published: (2023)