The logic of rational graph neural networks
Fuente:
arXiv
Guardado en:
| Autor principal: | Khalife, Sammy |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On the power of graph neural networks and the role of the activation function
por: Khalife, Sammy, et al.
Publicado: (2023)
por: Khalife, Sammy, et al.
Publicado: (2023)
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks
por: Khalife, Sammy, et al.
Publicado: (2024)
por: Khalife, Sammy, et al.
Publicado: (2024)
How hard is learning to cut? Trade-offs and sample complexity
por: Khalife, Sammy, et al.
Publicado: (2025)
por: Khalife, Sammy, et al.
Publicado: (2025)
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
por: Cheng, Hongyu, et al.
Publicado: (2024)
por: Cheng, Hongyu, et al.
Publicado: (2024)
Metalearning traffic assignment for network disruptions with graph convolutional neural networks
por: Agriesti, Serio, et al.
Publicado: (2026)
por: Agriesti, Serio, et al.
Publicado: (2026)
Incorporating graph neural network into route choice model
por: Ma, Yuxun, et al.
Publicado: (2025)
por: Ma, Yuxun, et al.
Publicado: (2025)
Do graph neural network states contain graph properties?
por: Pelletreau-Duris, Tom, et al.
Publicado: (2024)
por: Pelletreau-Duris, Tom, et al.
Publicado: (2024)
Prototype-enhanced prediction in graph neural networks for climate applications
por: Keshtmand, Nawid, et al.
Publicado: (2025)
por: Keshtmand, Nawid, et al.
Publicado: (2025)
Leveraging graph neural networks for supporting Automatic Triage of Patients
por: Defilippo, Annamaria, et al.
Publicado: (2024)
por: Defilippo, Annamaria, et al.
Publicado: (2024)
Fast instance-specific algorithm configuration with graph neural network
por: Aihara, Shingo, et al.
Publicado: (2025)
por: Aihara, Shingo, et al.
Publicado: (2025)
Applying graph neural network to SupplyGraph for supply chain network
por: Han, Kihwan
Publicado: (2024)
por: Han, Kihwan
Publicado: (2024)
A survey of dynamic graph neural networks
por: Zheng, Yanping, et al.
Publicado: (2024)
por: Zheng, Yanping, et al.
Publicado: (2024)
Research on the application of graph data structure and graph neural network in node classification/clustering tasks
por: Wang, Yihan, et al.
Publicado: (2025)
por: Wang, Yihan, et al.
Publicado: (2025)
Predicting fluid-structure interaction with graph neural networks
por: Gao, Rui, et al.
Publicado: (2022)
por: Gao, Rui, et al.
Publicado: (2022)
Warm-starting active-set solvers using graph neural networks
por: Schmidtobreick, Ella J., et al.
Publicado: (2025)
por: Schmidtobreick, Ella J., et al.
Publicado: (2025)
Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks
por: Gergő, Ungvári, et al.
Publicado: (2026)
por: Gergő, Ungvári, et al.
Publicado: (2026)
Attack logics, not outputs: Towards efficient robustification of deep neural networks by falsifying concept-based properties
por: Dankworth, Raik, et al.
Publicado: (2025)
por: Dankworth, Raik, et al.
Publicado: (2025)
Differential equation and probability inspired graph neural networks for latent variable learning
por: Shi, Zhuangwei
Publicado: (2022)
por: Shi, Zhuangwei
Publicado: (2022)
Learning to accelerate distributed ADMM using graph neural networks
por: Doerks, Henri, et al.
Publicado: (2025)
por: Doerks, Henri, et al.
Publicado: (2025)
Robustness questions the interpretability of graph neural networks: what to do?
por: Lukyanov, Kirill, et al.
Publicado: (2025)
por: Lukyanov, Kirill, et al.
Publicado: (2025)
Learnable quantum spectral filters for hybrid graph neural networks
por: Daskin, Ammar
Publicado: (2025)
por: Daskin, Ammar
Publicado: (2025)
sHGCN: Simplified hyperbolic graph convolutional neural networks
por: Arévalo, Pol, et al.
Publicado: (2025)
por: Arévalo, Pol, et al.
Publicado: (2025)
Sequence graphs realizations and ambiguity in language models
por: Khalife, Sammy, et al.
Publicado: (2024)
por: Khalife, Sammy, et al.
Publicado: (2024)
A logical re-conception of neural networks: Hamiltonian bitwise part-whole architecture
por: Bowen, E, et al.
Publicado: (2026)
por: Bowen, E, et al.
Publicado: (2026)
A graph neural network based on feature network for identifying influential nodes
por: Hu, Yanmei, et al.
Publicado: (2025)
por: Hu, Yanmei, et al.
Publicado: (2025)
Temporal social network modeling of mobile connectivity data with graph neural networks
por: Jaskari, Joel, et al.
Publicado: (2025)
por: Jaskari, Joel, et al.
Publicado: (2025)
Neural logic programs and neural nets
por: Antić, Christian
Publicado: (2024)
por: Antić, Christian
Publicado: (2024)
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning
por: Jain, Isha, et al.
Publicado: (2024)
por: Jain, Isha, et al.
Publicado: (2024)
A novel hybrid time-varying graph neural network for traffic flow forecasting
por: Dai, Ben-Ao, et al.
Publicado: (2024)
por: Dai, Ben-Ao, et al.
Publicado: (2024)
Thermodynamics-informed graph neural networks for real-time simulation of digital human twins
por: Tesán, Lucas, et al.
Publicado: (2024)
por: Tesán, Lucas, et al.
Publicado: (2024)
Universal and efficient graph neural networks with dynamic attention for machine learning interatomic potentials
por: Bi, Shuyu, et al.
Publicado: (2026)
por: Bi, Shuyu, et al.
Publicado: (2026)
A graph neural network based chemical mechanism reduction method for combustion applications
por: Padiyar, Manuru Nithin, et al.
Publicado: (2026)
por: Padiyar, Manuru Nithin, et al.
Publicado: (2026)
MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
por: Abate, Carlo, et al.
Publicado: (2024)
por: Abate, Carlo, et al.
Publicado: (2024)
Decomposing heterogeneous dynamical systems with graph neural networks
por: Allier, Cédric, et al.
Publicado: (2024)
por: Allier, Cédric, et al.
Publicado: (2024)
Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
por: Zhang, Yatao, et al.
Publicado: (2024)
por: Zhang, Yatao, et al.
Publicado: (2024)
A unifying primary framework for quantum graph neural networks from quantum graph states
por: Daskin, Ammar
Publicado: (2024)
por: Daskin, Ammar
Publicado: (2024)
Estimating the stability number of a random graph using convolutional neural networks
por: Davila, Randy
Publicado: (2024)
por: Davila, Randy
Publicado: (2024)
Residual connections provably mitigate oversmoothing in graph neural networks
por: Chen, Ziang, et al.
Publicado: (2025)
por: Chen, Ziang, et al.
Publicado: (2025)
Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks
por: Stops, Laura, et al.
Publicado: (2022)
por: Stops, Laura, et al.
Publicado: (2022)
A review of graph neural network applications in mechanics-related domains
por: Zhao, Yingxue, et al.
Publicado: (2024)
por: Zhao, Yingxue, et al.
Publicado: (2024)
Ejemplares similares
-
On the power of graph neural networks and the role of the activation function
por: Khalife, Sammy, et al.
Publicado: (2023) -
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks
por: Khalife, Sammy, et al.
Publicado: (2024) -
How hard is learning to cut? Trade-offs and sample complexity
por: Khalife, Sammy, et al.
Publicado: (2025) -
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
por: Cheng, Hongyu, et al.
Publicado: (2024) -
Metalearning traffic assignment for network disruptions with graph convolutional neural networks
por: Agriesti, Serio, et al.
Publicado: (2026)