An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Keke, Liò, Pietro |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
by: Huang, Keke, et al.
Published: (2024)
by: Huang, Keke, et al.
Published: (2024)
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
by: Huang, Keke, et al.
Published: (2024)
by: Huang, Keke, et al.
Published: (2024)
Learning Optimal Graph Filters for Clustering of Attributed Graphs
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)
Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach
by: Li, Shujing, et al.
Published: (2024)
by: Li, Shujing, et al.
Published: (2024)
Bures-Wasserstein Means of Graphs
by: Haasler, Isabel, et al.
Published: (2023)
by: Haasler, Isabel, et al.
Published: (2023)
Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations
by: Hong, Shu, et al.
Published: (2025)
by: Hong, Shu, et al.
Published: (2025)
Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes
by: Gu, Jinhao, et al.
Published: (2023)
by: Gu, Jinhao, et al.
Published: (2023)
Topology Identification and Inference over Graphs
by: Mateos, Gonzalo, et al.
Published: (2025)
by: Mateos, Gonzalo, et al.
Published: (2025)
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes
by: Chen, Lili, et al.
Published: (2023)
by: Chen, Lili, et al.
Published: (2023)
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks
by: Chen, Lili, et al.
Published: (2023)
by: Chen, Lili, et al.
Published: (2023)
Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistics
by: Luo, Rui, et al.
Published: (2023)
by: Luo, Rui, et al.
Published: (2023)
Faster Inference of Cell Complexes from Flows via Matrix Factorization
by: Spreuer, Til, et al.
Published: (2025)
by: Spreuer, Til, et al.
Published: (2025)
Learning Hypergraphs From Signals With Dual Smoothness Prior
by: Tang, Bohan, et al.
Published: (2022)
by: Tang, Bohan, et al.
Published: (2022)
A family of graph GOSPA metrics for graphs with different sizes
by: Gu, Jinhao, et al.
Published: (2025)
by: Gu, Jinhao, et al.
Published: (2025)
Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks
by: Mohammadiasl, Ali, et al.
Published: (2026)
by: Mohammadiasl, Ali, et al.
Published: (2026)
Multiscale Hodge Scattering Networks for Data Analysis
by: Saito, Naoki, et al.
Published: (2023)
by: Saito, Naoki, et al.
Published: (2023)
Causal Influences over Social Learning Networks
by: Kayaalp, Mert, et al.
Published: (2023)
by: Kayaalp, Mert, et al.
Published: (2023)
MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
by: Goksu, Huseyin
Published: (2025)
by: Goksu, Huseyin
Published: (2025)
Community Detection in the Multi-View Stochastic Block Model
by: Zhang, Yexin, et al.
Published: (2024)
by: Zhang, Yexin, et al.
Published: (2024)
SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks
by: Khalid, Maryam, et al.
Published: (2024)
by: Khalid, Maryam, et al.
Published: (2024)
Graph Neural Networks for Jamming Source Localization
by: Herzalla, Dania, et al.
Published: (2025)
by: Herzalla, Dania, et al.
Published: (2025)
A Primer on Temporal Graph Learning
by: Rahman, Aniq Ur, et al.
Published: (2024)
by: Rahman, Aniq Ur, et al.
Published: (2024)
Grassmanian Interpolation of Low-Pass Graph Filters: Theory and Applications
by: Savostianov, Anton, et al.
Published: (2025)
by: Savostianov, Anton, et al.
Published: (2025)
A Markov Random Field model for Hypergraph-based Machine Learning
by: Tang, Bohan, et al.
Published: (2023)
by: Tang, Bohan, et al.
Published: (2023)
Graph Neural Networks with Diverse Spectral Filtering
by: Guo, Jingwei, et al.
Published: (2023)
by: Guo, Jingwei, et al.
Published: (2023)
Tiny Graph Neural Networks for Radio Resource Management
by: Ghasemi, Ahmad, et al.
Published: (2024)
by: Ghasemi, Ahmad, et al.
Published: (2024)
Graph Neural Networks Based Anomalous RSSI Detection
by: Bertalanič, Blaž, et al.
Published: (2025)
by: Bertalanič, Blaž, et al.
Published: (2025)
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
by: Li, Zehui, et al.
Published: (2023)
by: Li, Zehui, et al.
Published: (2023)
Graph signal aware decomposition of dynamic networks via latent graphs
by: Das, Bishwadeep, et al.
Published: (2025)
by: Das, Bishwadeep, et al.
Published: (2025)
On the Impact of Sample Size in Reconstructing Noisy Graph Signals: A Theoretical Characterisation
by: Sripathmanathan, Baskaran, et al.
Published: (2024)
by: Sripathmanathan, Baskaran, et al.
Published: (2024)
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach
by: Li, Guoming, et al.
Published: (2024)
by: Li, Guoming, et al.
Published: (2024)
Data-Driven Radio Environment Map Estimation Using Graph Neural Networks
by: Shibli, Ali, et al.
Published: (2024)
by: Shibli, Ali, et al.
Published: (2024)
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks
by: Chen, Lili, et al.
Published: (2024)
by: Chen, Lili, et al.
Published: (2024)
Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks
by: Semiari, Omid, et al.
Published: (2025)
by: Semiari, Omid, et al.
Published: (2025)
Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visions
by: Wang, Zhe, et al.
Published: (2024)
by: Wang, Zhe, et al.
Published: (2024)
Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks
by: Wang, Shufan, et al.
Published: (2024)
by: Wang, Shufan, et al.
Published: (2024)
Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
by: Rosenberger, Hans, et al.
Published: (2025)
by: Rosenberger, Hans, et al.
Published: (2025)
Neural Network Based Framework for Passive Intermodulation Cancellation in MIMO Systems
by: Li, Xiaolong, et al.
Published: (2025)
by: Li, Xiaolong, et al.
Published: (2025)
Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion
by: Li, Dongxu, et al.
Published: (2024)
by: Li, Dongxu, et al.
Published: (2024)
Graph Neural Network Based Hybrid Beamforming Design in Wideband Terahertz MIMO-OFDM Systems
by: Li, Beier, et al.
Published: (2025)
by: Li, Beier, et al.
Published: (2025)
Similar Items
-
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
by: Huang, Keke, et al.
Published: (2024) -
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
by: Huang, Keke, et al.
Published: (2024) -
Learning Optimal Graph Filters for Clustering of Attributed Graphs
by: Ortiz-Bouza, Meiby, et al.
Published: (2022) -
Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach
by: Li, Shujing, et al.
Published: (2024) -
Bures-Wasserstein Means of Graphs
by: Haasler, Isabel, et al.
Published: (2023)