Continuous Product Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Einizade, Aref, Malliaros, Fragkiskos D., Giraldo, Jhony H. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks
by: Einizade, Aref, et al.
Published: (2024)
by: Einizade, Aref, et al.
Published: (2024)
Continuous Simplicial Neural Networks
by: Einizade, Aref, et al.
Published: (2025)
by: Einizade, Aref, et al.
Published: (2025)
Second-Order Tensorial Partial Differential Equations on Graphs
by: Einizade, Aref, et al.
Published: (2025)
by: Einizade, Aref, et al.
Published: (2025)
Scaling Higher-Order Graph Learning with Maximal Clique Complexes
by: Vialle, Antoine, et al.
Published: (2026)
by: Vialle, Antoine, et al.
Published: (2026)
Piecewise Constant Spectral Graph Neural Network
by: Martirosyan, Vahan, et al.
Published: (2025)
by: Martirosyan, Vahan, et al.
Published: (2025)
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning
by: Xie, Shifeng, et al.
Published: (2025)
by: Xie, Shifeng, et al.
Published: (2025)
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
by: Castro-Correa, Jhon A., et al.
Published: (2024)
by: Castro-Correa, Jhon A., et al.
Published: (2024)
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
by: Sangare, Amadou S., et al.
Published: (2025)
by: Sangare, Amadou S., et al.
Published: (2025)
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
by: Giraldo, Jhony H., et al.
Published: (2024)
by: Giraldo, Jhony H., et al.
Published: (2024)
Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
by: Attali, Hugo, et al.
Published: (2025)
by: Attali, Hugo, et al.
Published: (2025)
Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
by: Attali, Hugo, et al.
Published: (2024)
by: Attali, Hugo, et al.
Published: (2024)
Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
by: Attali, Hugo, et al.
Published: (2026)
by: Attali, Hugo, et al.
Published: (2026)
Variational Graph Contrastive Learning
by: Xie, Shifeng, et al.
Published: (2024)
by: Xie, Shifeng, et al.
Published: (2024)
Uplift Modeling Under Limited Supervision
by: Panagopoulos, George, et al.
Published: (2024)
by: Panagopoulos, George, et al.
Published: (2024)
Generalization Bounds for Spectral GNNs via Fourier Domain Analysis
by: Martirosyan, Vahan A., et al.
Published: (2026)
by: Martirosyan, Vahan A., et al.
Published: (2026)
The Factuality of Large Language Models in the Legal Domain
by: Hamdani, Rajaa El, et al.
Published: (2024)
by: Hamdani, Rajaa El, et al.
Published: (2024)
Centrality Graph Shift Operators for Graph Neural Networks
by: Abbahaddou, Yassine, et al.
Published: (2024)
by: Abbahaddou, Yassine, et al.
Published: (2024)
Boolean Product Graph Neural Networks
by: Wang, Ziyan, et al.
Published: (2024)
by: Wang, Ziyan, et al.
Published: (2024)
Solar-GECO: Perovskite Solar Cell Property Prediction with Geometric-Aware Co-Attention
by: Li, Lucas, et al.
Published: (2025)
by: Li, Lucas, et al.
Published: (2025)
Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields
by: Abbahaddou, Yassine, et al.
Published: (2024)
by: Abbahaddou, Yassine, et al.
Published: (2024)
On the Convergence and Size Transferability of Continuous-depth Graph Neural Networks
by: Yan, Mingsong, et al.
Published: (2025)
by: Yan, Mingsong, et al.
Published: (2025)
Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation
by: Abbahaddou, Yassine, et al.
Published: (2024)
by: Abbahaddou, Yassine, et al.
Published: (2024)
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs
by: Fang, Lanting, et al.
Published: (2024)
by: Fang, Lanting, et al.
Published: (2024)
Cometh: A continuous-time discrete-state graph diffusion model
by: Siraudin, Antoine, et al.
Published: (2024)
by: Siraudin, Antoine, et al.
Published: (2024)
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
by: Duval, Alexandre, et al.
Published: (2023)
by: Duval, Alexandre, et al.
Published: (2023)
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
by: Zheng, Zinan, et al.
Published: (2024)
by: Zheng, Zinan, et al.
Published: (2024)
SpaTeoGL: Spatiotemporal Graph Learning for Interpretable Seizure Onset Zone Analysis from Intracranial EEG
by: Rostami, Elham, et al.
Published: (2026)
by: Rostami, Elham, et al.
Published: (2026)
Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)
by: Yin, Nan, et al.
Published: (2024)
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
by: Kang, Qiyu, et al.
Published: (2024)
by: Kang, Qiyu, 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)
Introduction to Graph Neural Networks for Machine Learning Engineers
by: Tanis, James H., et al.
Published: (2024)
by: Tanis, James H., et al.
Published: (2024)
FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting
by: Bahi, Abderaouf, et al.
Published: (2026)
by: Bahi, Abderaouf, et al.
Published: (2026)
FAROS: Fair Graph Generation via Attribute Switching Mechanisms
by: Badaoui, Abdennacer, et al.
Published: (2025)
by: Badaoui, Abdennacer, 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)
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)
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)
CFNN: Continued Fraction Neural Network
by: Wang, Chao, et al.
Published: (2026)
by: Wang, Chao, et al.
Published: (2026)
GraphXAIN: Narratives to Explain Graph Neural Networks
by: Cedro, Mateusz, et al.
Published: (2024)
by: Cedro, Mateusz, et al.
Published: (2024)
Similar Items
-
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks
by: Einizade, Aref, et al.
Published: (2024) -
Continuous Simplicial Neural Networks
by: Einizade, Aref, et al.
Published: (2025) -
Second-Order Tensorial Partial Differential Equations on Graphs
by: Einizade, Aref, et al.
Published: (2025) -
Scaling Higher-Order Graph Learning with Maximal Clique Complexes
by: Vialle, Antoine, et al.
Published: (2026) -
Piecewise Constant Spectral Graph Neural Network
by: Martirosyan, Vahan, et al.
Published: (2025)