Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Davila, Randy, Ispir, Beyzanur |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The \emph{Optimist}: Towards Fully Automated Graph Theory Research
by: Davila, Randy
Published: (2024)
by: Davila, Randy
Published: (2024)
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
by: He, Mingguo, et al.
Published: (2022)
by: He, Mingguo, et al.
Published: (2022)
Trees and Graphs with Non Log-concave Dominating Set Sequence via AI Tools
by: Du, Alina, et al.
Published: (2026)
by: Du, Alina, et al.
Published: (2026)
Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024)
by: Zhao, Tianyi, et al.
Published: (2024)
Residual Reweighted Conformal Prediction for Graph Neural Networks
by: Zhang, Zheng, et al.
Published: (2025)
by: Zhang, Zheng, et al.
Published: (2025)
Causal Graph Neural Networks for Wildfire Danger Prediction
by: Zhao, Shan, et al.
Published: (2024)
by: Zhao, Shan, et al.
Published: (2024)
Graphs Unveiled: Graph Neural Networks and Graph Generation
by: Kovács, László, et al.
Published: (2024)
by: Kovács, László, et al.
Published: (2024)
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
by: Lischka, Attila, et al.
Published: (2025)
by: Lischka, Attila, et al.
Published: (2025)
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)
by: Kofinas, Miltiadis, et al.
Published: (2024)
Superposition in Graph Neural Networks
by: Pertl, Lukas, et al.
Published: (2025)
by: Pertl, Lukas, et al.
Published: (2025)
Transformers are Graph Neural Networks
by: Joshi, Chaitanya K.
Published: (2025)
by: Joshi, Chaitanya K.
Published: (2025)
Commute Graph Neural Networks
by: Zhuo, Wei, et al.
Published: (2024)
by: Zhuo, Wei, et al.
Published: (2024)
Cooperative Graph Neural Networks
by: Finkelshtein, Ben, et al.
Published: (2023)
by: Finkelshtein, Ben, et al.
Published: (2023)
A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections
by: Palit, Jewel Rana, et al.
Published: (2024)
by: Palit, Jewel Rana, et al.
Published: (2024)
Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records
by: Hancox, Zoe, et al.
Published: (2024)
by: Hancox, Zoe, et al.
Published: (2024)
MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
by: Wu, Mei, et al.
Published: (2025)
by: Wu, Mei, et al.
Published: (2025)
Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
by: Boll, Heloisa Oss, et al.
Published: (2024)
by: Boll, Heloisa Oss, et al.
Published: (2024)
GraphXAIN: Narratives to Explain Graph Neural Networks
by: Cedro, Mateusz, et al.
Published: (2024)
by: Cedro, Mateusz, et al.
Published: (2024)
Graph Neural Networks Use Graphs When They Shouldn't
by: Bechler-Speicher, Maya, et al.
Published: (2023)
by: Bechler-Speicher, Maya, et al.
Published: (2023)
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)
by: Fan, Shaohua, et al.
Published: (2021)
Explaining Graph Neural Networks for Node Similarity on Graphs
by: Daza, Daniel, et al.
Published: (2024)
by: Daza, Daniel, et al.
Published: (2024)
Artificial intelligence and machine learning generated conjectures with TxGraffiti
by: Davila, Randy
Published: (2024)
by: Davila, Randy
Published: (2024)
Automated conjecturing with \emph{TxGraffiti}
by: Davila, Randy
Published: (2024)
by: Davila, Randy
Published: (2024)
Spectro-Riemannian Graph Neural Networks
by: Grover, Karish, et al.
Published: (2025)
by: Grover, Karish, et al.
Published: (2025)
Causal Graph Neural Networks for Healthcare
by: Mesinovic, Munib, et al.
Published: (2025)
by: Mesinovic, Munib, et al.
Published: (2025)
An Active Diffusion Neural Network for Graphs
by: Jiang, Mengying
Published: (2025)
by: Jiang, Mengying
Published: (2025)
Graph Neural Networks at a Fraction
by: Joshi, Rucha Bhalchandra, et al.
Published: (2025)
by: Joshi, Rucha Bhalchandra, et al.
Published: (2025)
Kolmogorov-Arnold Graph Neural Networks
by: De Carlo, Gianluca, et al.
Published: (2024)
by: De Carlo, Gianluca, et al.
Published: (2024)
Logical Distillation of Graph Neural Networks
by: Pluska, Alexander, et al.
Published: (2024)
by: Pluska, Alexander, et al.
Published: (2024)
Understanding Pooling in Graph Neural Networks
by: Grattarola, Daniele, et al.
Published: (2021)
by: Grattarola, Daniele, et al.
Published: (2021)
Differentiable Cluster Graph Neural Network
by: Dong, Yanfei, et al.
Published: (2024)
by: Dong, Yanfei, et al.
Published: (2024)
Sparse Decomposition of Graph Neural Networks
by: Hu, Yaochen, et al.
Published: (2024)
by: Hu, Yaochen, et al.
Published: (2024)
Continuous Product Graph Neural Networks
by: Einizade, Aref, et al.
Published: (2024)
by: Einizade, Aref, et al.
Published: (2024)
On the Expressive Power of Graph Neural Networks
by: Nalwade, Ashwin, et al.
Published: (2024)
by: Nalwade, Ashwin, et al.
Published: (2024)
Non-convolutional Graph Neural Networks
by: Wang, Yuanqing, et al.
Published: (2024)
by: Wang, Yuanqing, et al.
Published: (2024)
Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Boolean Product Graph Neural Networks
by: Wang, Ziyan, et al.
Published: (2024)
by: Wang, Ziyan, et al.
Published: (2024)
Spatio-Spectral Graph Neural Networks
by: Geisler, Simon, et al.
Published: (2024)
by: Geisler, Simon, et al.
Published: (2024)
Content Augmented Graph Neural Networks
by: Nasrabadi, Fatemeh Gholamzadeh, et al.
Published: (2023)
by: Nasrabadi, Fatemeh Gholamzadeh, et al.
Published: (2023)
GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)
by: Fu, Xingbo, et al.
Published: (2025)
Similar Items
-
The \emph{Optimist}: Towards Fully Automated Graph Theory Research
by: Davila, Randy
Published: (2024) -
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
by: He, Mingguo, et al.
Published: (2022) -
Trees and Graphs with Non Log-concave Dominating Set Sequence via AI Tools
by: Du, Alina, et al.
Published: (2026) -
Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024) -
Residual Reweighted Conformal Prediction for Graph Neural Networks
by: Zhang, Zheng, et al.
Published: (2025)