Saved in:
| Main Authors: | Ruiz-Fas, Àngel, Granell, Carlos, Ramos, José Francisco, Huerta, Joaquín, Trilles, Sergio |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.04705 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Community-Based Model Sharing and Generalisation: Anomaly Detection in IoT Temperature Sensor Networks
by: Hammad, Sahibzada Saadoon, et al.
Published: (2026)
by: Hammad, Sahibzada Saadoon, et al.
Published: (2026)
From Global to Local: Cluster-Aware Learning for Wi-Fi Fingerprinting Indoor Localisation
by: Matey-Sanz, Miguel, et al.
Published: (2026)
by: Matey-Sanz, Miguel, et al.
Published: (2026)
A bilevel approach for compensation and routing decisions in last-mile delivery
by: Cerulli, Martina, et al.
Published: (2023)
by: Cerulli, Martina, et al.
Published: (2023)
Solving the QAP by Two-Stage Graph Pointer Networks and Reinforcement Learning
by: Iida, Satoko, et al.
Published: (2024)
by: Iida, Satoko, et al.
Published: (2024)
Pointer Networks with Q-Learning for Combinatorial Optimization
by: Barro, Alessandro
Published: (2023)
by: Barro, Alessandro
Published: (2023)
A Graph Laplacian Eigenvector-based Pre-training Method for Graph Neural Networks
by: Dai, Howard, et al.
Published: (2025)
by: Dai, Howard, et al.
Published: (2025)
Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?
by: Nguyen, Quoc Viet, et al.
Published: (2025)
by: Nguyen, Quoc Viet, et al.
Published: (2025)
Generating Diverse TSP Tours via a Combination of Graph Pointer Network and Dispersion
by: Yang, Hao-Tsung, et al.
Published: (2026)
by: Yang, Hao-Tsung, et al.
Published: (2026)
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network
by: Mo, Baichuan, et al.
Published: (2023)
by: Mo, Baichuan, et al.
Published: (2023)
A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system
by: Moreno-Saavedra, Luis M., et al.
Published: (2025)
by: Moreno-Saavedra, Luis M., et al.
Published: (2025)
Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs
by: Sun, Shengyin, et al.
Published: (2025)
by: Sun, Shengyin, et al.
Published: (2025)
Convergence of gradient based training for linear Graph Neural Networks
by: Patel, Dhiraj, et al.
Published: (2025)
by: Patel, Dhiraj, et al.
Published: (2025)
Transfer Entropy in Graph Convolutional Neural Networks
by: Moldovan, Adrian, et al.
Published: (2024)
by: Moldovan, Adrian, et al.
Published: (2024)
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
by: Keriven, Nicolas
Published: (2025)
by: Keriven, Nicolas
Published: (2025)
BioNeuralNet: A Graph Neural Network based Multi-Omics Network Data Analysis Tool
by: Ramos, Vicente, et al.
Published: (2025)
by: Ramos, Vicente, et al.
Published: (2025)
Data-Driven Dynamic Friction Models based on Recurrent Neural Networks
by: Cortes, Gaëtan, et al.
Published: (2024)
by: Cortes, Gaëtan, et al.
Published: (2024)
El futuro del comercio hispano-latinoamericano ante el ingreso de España a la Comunidad Económica Europea / Francisco Granell
by: Granell, Francisco
by: Granell, Francisco
El futuro del comercio hispano-latinoamericano ante el ingreso de España a la Comunidad Económica Europea
by: Granell, Francisco
Published: (1979)
by: Granell, Francisco
Published: (1979)
Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention
by: Curtosi, Gabriel, et al.
Published: (2026)
by: Curtosi, Gabriel, et al.
Published: (2026)
Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery
by: Jia, Shuyi, et al.
Published: (2025)
by: Jia, Shuyi, et al.
Published: (2025)
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
by: Zhao, Zhe, et al.
Published: (2024)
by: Zhao, Zhe, et al.
Published: (2024)
Interactive Event Sifting using Bayesian Graph Neural Networks
by: Nascimento, José, et al.
Published: (2024)
by: Nascimento, José, et al.
Published: (2024)
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
by: Wang, Zhili, et al.
Published: (2023)
by: Wang, Zhili, et al.
Published: (2023)
Sampling Transferable Graph Neural Networks with Limited Graph Information
by: Wang, Haoyu, et al.
Published: (2024)
by: Wang, Haoyu, et al.
Published: (2024)
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
by: Bergna, Richard, et al.
Published: (2024)
by: Bergna, Richard, et al.
Published: (2024)
On Improving Graph Neural Networks for QSAR by Pre-training on Extended-Connectivity Fingerprints
by: Money-Kyrle, Sam, et al.
Published: (2026)
by: Money-Kyrle, Sam, et al.
Published: (2026)
United States. The last mile
Published: (1998)
Published: (1998)
Business. The battle for the last mile
Published: (1999)
Published: (1999)
A characterization of zero entropy loosely Bernoulli flows via FK-pseudometric
by: Trilles, Alexandre
Published: (2024)
by: Trilles, Alexandre
Published: (2024)
Semi-Supervised Learning on Graphs using Graph Neural Networks
by: Chen, Juntong, et al.
Published: (2026)
by: Chen, Juntong, et al.
Published: (2026)
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
by: Hoang, Van Thuy, et al.
Published: (2024)
by: Hoang, Van Thuy, et al.
Published: (2024)
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
by: Zhang, Canlin, et al.
Published: (2023)
by: Zhang, Canlin, et al.
Published: (2023)
Graph-based Integrated Gradients for Explaining Graph Neural Networks
by: Simpson, Lachlan, et al.
Published: (2025)
by: Simpson, Lachlan, et al.
Published: (2025)
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
by: Qin, Zheyi, et al.
Published: (2023)
by: Qin, Zheyi, et al.
Published: (2023)
View-based Explanations for Graph Neural Networks
by: Chen, Tingyang, et al.
Published: (2024)
by: Chen, Tingyang, et al.
Published: (2024)
You do not have to train Graph Neural Networks at all on text-attributed graphs
by: Dong, Kaiwen, et al.
Published: (2024)
by: Dong, Kaiwen, et al.
Published: (2024)
Nonstabilizerness Estimation using Graph Neural Networks
by: Lipardi, Vincenzo, et al.
Published: (2025)
by: Lipardi, Vincenzo, et al.
Published: (2025)
A data-centric approach for assessing progress of Graph Neural Networks
by: Zhao, Tianqi, et al.
Published: (2024)
by: Zhao, Tianqi, et al.
Published: (2024)
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
by: Ancelotti, Amy, et al.
Published: (2024)
by: Ancelotti, Amy, et al.
Published: (2024)
Factor Graph-based Interpretable Neural Networks
by: Li, Yicong, et al.
Published: (2025)
by: Li, Yicong, et al.
Published: (2025)
Similar Items
-
Community-Based Model Sharing and Generalisation: Anomaly Detection in IoT Temperature Sensor Networks
by: Hammad, Sahibzada Saadoon, et al.
Published: (2026) -
From Global to Local: Cluster-Aware Learning for Wi-Fi Fingerprinting Indoor Localisation
by: Matey-Sanz, Miguel, et al.
Published: (2026) -
A bilevel approach for compensation and routing decisions in last-mile delivery
by: Cerulli, Martina, et al.
Published: (2023) -
Solving the QAP by Two-Stage Graph Pointer Networks and Reinforcement Learning
by: Iida, Satoko, et al.
Published: (2024) -
Pointer Networks with Q-Learning for Combinatorial Optimization
by: Barro, Alessandro
Published: (2023)