Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
Fuente:
arXiv
Saved in:
| Main Authors: | Hordan, Snir, Bechler-Speicher, Maya, Lifshitz, Gur, Dym, Nadav |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them
by: Hordan, Snir, et al.
Published: (2026)
by: Hordan, Snir, et al.
Published: (2026)
Complete Neural Networks for Complete Euclidean Graphs
by: Hordan, Snir, et al.
Published: (2023)
by: Hordan, Snir, et al.
Published: (2023)
Weisfeiler Leman for Euclidean Equivariant Machine Learning
by: Hordan, Snir, et al.
Published: (2024)
by: Hordan, Snir, et al.
Published: (2024)
A General Recipe for Contractive Graph Neural Networks -- Technical Report
by: Bechler-Speicher, Maya, et al.
Published: (2024)
by: Bechler-Speicher, Maya, et al.
Published: (2024)
When and How to Canonize: A Generalization Perspective
by: Sverdlov, Yonatan, et al.
Published: (2026)
by: Sverdlov, Yonatan, et al.
Published: (2026)
The Interpretable and Effective Graph Neural Additive Networks
by: Bechler-Speicher, Maya, et al.
Published: (2024)
by: Bechler-Speicher, Maya, et al.
Published: (2024)
TREE-G: Decision Trees Contesting Graph Neural Networks
by: Bechler-Speicher, Maya, et al.
Published: (2022)
by: Bechler-Speicher, Maya, et al.
Published: (2022)
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)
On the Hölder Stability of Multiset and Graph Neural Networks
by: Davidson, Yair, et al.
Published: (2024)
by: Davidson, Yair, et al.
Published: (2024)
Cayley Graph Propagation
by: Wilson, JJ, et al.
Published: (2024)
by: Wilson, JJ, et al.
Published: (2024)
Quantitative Approximation Rates for Group Equivariant Learning
by: Siegel, Jonathan W., et al.
Published: (2026)
by: Siegel, Jonathan W., et al.
Published: (2026)
Towards Invariance to Node Identifiers in Graph Neural Networks
by: Bechler-Speicher, Maya, et al.
Published: (2025)
by: Bechler-Speicher, Maya, et al.
Published: (2025)
On the Utilization of Unique Node Identifiers in Graph Neural Networks
by: Bechler-Speicher, Maya, et al.
Published: (2024)
by: Bechler-Speicher, Maya, et al.
Published: (2024)
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks
by: Bar-Shalom, Guy, et al.
Published: (2026)
by: Bar-Shalom, Guy, et al.
Published: (2026)
Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers
by: Bechler-Speicher, Maya, et al.
Published: (2026)
by: Bechler-Speicher, Maya, et al.
Published: (2026)
Improving LLM Final Representations with Inter-Layer Geometry
by: Ulanovski, Tom, et al.
Published: (2026)
by: Ulanovski, Tom, et al.
Published: (2026)
Graph Mixing Additive Networks
by: Bechler-Speicher, Maya, et al.
Published: (2025)
by: Bechler-Speicher, Maya, et al.
Published: (2025)
Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers
by: Yehudai, Gilad, et al.
Published: (2025)
by: Yehudai, Gilad, et al.
Published: (2025)
Billion-Scale Graph Foundation Models
by: Bechler-Speicher, Maya, et al.
Published: (2026)
by: Bechler-Speicher, Maya, et al.
Published: (2026)
Identifying Critical Phases for Disease Onset with Sparse Haematological Biomarkers
by: Zerio, Andrea, et al.
Published: (2025)
by: Zerio, Andrea, et al.
Published: (2025)
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
by: Amir, Tal, et al.
Published: (2024)
by: Amir, Tal, et al.
Published: (2024)
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
by: Amir, Tal, et al.
Published: (2025)
by: Amir, Tal, et al.
Published: (2025)
On the (Non) Injectivity of Piecewise Linear Janossy Pooling
by: Reshef, Ilai, et al.
Published: (2025)
by: Reshef, Ilai, et al.
Published: (2025)
On the Expressive Power of Sparse Geometric MPNNs
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
Monotone and Separable Set Functions: Characterizations and Neural Models
by: Sarangi, Soutrik, et al.
Published: (2025)
by: Sarangi, Soutrik, et al.
Published: (2025)
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
Equivariant Frames and the Impossibility of Continuous Canonicalization
by: Dym, Nadav, et al.
Published: (2024)
by: Dym, Nadav, et al.
Published: (2024)
Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization
by: Friedmann, Benjy, et al.
Published: (2026)
by: Friedmann, Benjy, et al.
Published: (2026)
A Simple Spectral Failure Mode for Graph Convolutional Networks
by: Priebe, Carey E., et al.
Published: (2020)
by: Priebe, Carey E., et al.
Published: (2020)
SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
by: Bechler-Speicher, Maya, et al.
Published: (2025)
by: Bechler-Speicher, Maya, et al.
Published: (2025)
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
by: Yuan, Peng, et al.
Published: (2024)
by: Yuan, Peng, et al.
Published: (2024)
Full-Spectrum Graph Neural Networks: Expressive and Scalable
by: Wang, Xiaohan, et al.
Published: (2026)
by: Wang, Xiaohan, et al.
Published: (2026)
Asymmetric Learning for Spectral Graph Neural Networks
by: Liu, Fangbing, et al.
Published: (2024)
by: Liu, Fangbing, et al.
Published: (2024)
Spatio-Spectral Graph Neural Networks
by: Geisler, Simon, et al.
Published: (2024)
by: Geisler, Simon, et al.
Published: (2024)
Short-Range Oversquashing
by: Mishayev, Yaaqov, et al.
Published: (2025)
by: Mishayev, Yaaqov, et al.
Published: (2025)
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
by: Bechler-Speicher, Maya, et al.
Published: (2025)
by: Bechler-Speicher, Maya, et al.
Published: (2025)
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
by: Gai, Jingchu, et al.
Published: (2025)
by: Gai, Jingchu, et al.
Published: (2025)
Simple and Efficient Heterogeneous Temporal Graph Neural Network
by: Wang, Yili, et al.
Published: (2025)
by: Wang, Yili, et al.
Published: (2025)
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks
by: Yan, Xueming, et al.
Published: (2024)
by: Yan, Xueming, et al.
Published: (2024)
Similar Items
-
Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them
by: Hordan, Snir, et al.
Published: (2026) -
Complete Neural Networks for Complete Euclidean Graphs
by: Hordan, Snir, et al.
Published: (2023) -
Weisfeiler Leman for Euclidean Equivariant Machine Learning
by: Hordan, Snir, et al.
Published: (2024) -
A General Recipe for Contractive Graph Neural Networks -- Technical Report
by: Bechler-Speicher, Maya, et al.
Published: (2024) -
When and How to Canonize: A Generalization Perspective
by: Sverdlov, Yonatan, et al.
Published: (2026)