Generating Diverse TSP Tours via a Combination of Graph Pointer Network and Dispersion
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Hao-Tsung, Lo, Ssu-Yuan, Chen, Kuan-Lun, Wang, Ching-Kai |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP
by: Lischka, Attila, et al.
Published: (2024)
by: Lischka, Attila, et al.
Published: (2024)
EMP: Effective Multidimensional Persistence for Graph Representation Learning
by: Segovia-Dominguez, Ignacio, et al.
Published: (2024)
by: Segovia-Dominguez, Ignacio, et al.
Published: (2024)
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
by: Tulchinskii, Eduard, et al.
Published: (2025)
by: Tulchinskii, Eduard, et al.
Published: (2025)
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning
by: Wei, Ziquan, et al.
Published: (2024)
by: Wei, Ziquan, et al.
Published: (2024)
A GREAT Architecture for Edge-Based Graph Problems Like TSP
by: Lischka, Attila, et al.
Published: (2024)
by: Lischka, Attila, et al.
Published: (2024)
Topology-Preserving Neural Operator Learning via Hodge Decomposition
by: Zheng, Dongzhe, et al.
Published: (2026)
by: Zheng, Dongzhe, et al.
Published: (2026)
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
by: Liu, Yang, et al.
Published: (2023)
by: Liu, Yang, et al.
Published: (2023)
IDEQ: an improved diffusion model for the TSP
by: Basson, Mickael, et al.
Published: (2024)
by: Basson, Mickael, et al.
Published: (2024)
Project-Level C-to-Rust Translation via Pointer Knowledge Graphs
by: Yuan, Zhiqiang, et al.
Published: (2025)
by: Yuan, Zhiqiang, et al.
Published: (2025)
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
by: Zhang, Zhanguang, et al.
Published: (2024)
by: Zhang, Zhanguang, et al.
Published: (2024)
Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users
by: Liu, Bo-Yi, et al.
Published: (2025)
by: Liu, Bo-Yi, et al.
Published: (2025)
PXGen: A Post-hoc Explainable Method for Generative Models
by: Huang, Yen-Lung, et al.
Published: (2025)
by: Huang, Yen-Lung, et al.
Published: (2025)
Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix
by: Zhang, Jinhao, et al.
Published: (2026)
by: Zhang, Jinhao, et al.
Published: (2026)
Purity Law for Generalizable Neural TSP Solvers
by: Liu, Wenzhao, et al.
Published: (2025)
by: Liu, Wenzhao, et al.
Published: (2025)
CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model
by: Chiang, Shang-Hsuan, et al.
Published: (2024)
by: Chiang, Shang-Hsuan, et al.
Published: (2024)
Heterophilic Graph Neural Networks Optimization with Causal Message-passing
by: Wang, Botao, et al.
Published: (2024)
by: Wang, Botao, et al.
Published: (2024)
Topological Signatures of ReLU Neural Network Activation Patterns
by: Bosca, Vicente, et al.
Published: (2025)
by: Bosca, Vicente, et al.
Published: (2025)
Disentanglement Learning via Topology
by: Balabin, Nikita, et al.
Published: (2023)
by: Balabin, Nikita, et al.
Published: (2023)
Touring sampling with pushforward maps
by: Cabannes, Vivien, et al.
Published: (2023)
by: Cabannes, Vivien, et al.
Published: (2023)
FlowX: Towards Explainable Graph Neural Networks via Message Flows
by: Gui, Shurui, et al.
Published: (2022)
by: Gui, Shurui, et al.
Published: (2022)
Attention Is Not What You Need
by: Chong, Zhang
Published: (2025)
by: Chong, Zhang
Published: (2025)
ACEV: Unsupervised Intersecting Manifold Segmentation using Adaptation to Angular Change of Eigenvectors in Intrinsic Dimension
by: Boral, Subhadip, et al.
Published: (2024)
by: Boral, Subhadip, et al.
Published: (2024)
Learning with Confidence
by: Richardson, Oliver Ethan
Published: (2025)
by: Richardson, Oliver Ethan
Published: (2025)
Tensor Gauge Flow Models
by: Strunk, Alexander, et al.
Published: (2025)
by: Strunk, Alexander, et al.
Published: (2025)
Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach
by: Pan, Jie, et al.
Published: (2022)
by: Pan, Jie, et al.
Published: (2022)
Euclidean Embedding of Data Using Local Distances
by: Arabadjis, Dimitris
Published: (2026)
by: Arabadjis, Dimitris
Published: (2026)
Recovering Manifold Structure Using Ollivier-Ricci Curvature
by: Saidi, Tristan Luca, et al.
Published: (2024)
by: Saidi, Tristan Luca, et al.
Published: (2024)
Gauge Flow Models
by: Strunk, Alexander, et al.
Published: (2025)
by: Strunk, Alexander, et al.
Published: (2025)
Higher Gauge Flow Models
by: Strunk, Alexander, et al.
Published: (2025)
by: Strunk, Alexander, et al.
Published: (2025)
Learning Pareto-Optimal Rewards from Noisy Preferences: A Framework for Multi-Objective Inverse Reinforcement Learning
by: Cherukuri, Kalyan, et al.
Published: (2025)
by: Cherukuri, Kalyan, et al.
Published: (2025)
From Theory to Throughput: CUDA-Optimized APML for Large-Batch 3D Learning
by: Sharifipour, Sasan, et al.
Published: (2025)
by: Sharifipour, Sasan, et al.
Published: (2025)
Carré du champ flow matching: better quality-generalisation tradeoff in generative models
by: Bamberger, Jacob, et al.
Published: (2025)
by: Bamberger, Jacob, et al.
Published: (2025)
The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws
by: Zaher, Eslam, et al.
Published: (2026)
by: Zaher, Eslam, et al.
Published: (2026)
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment
by: Zhao, Dongfang
Published: (2024)
by: Zhao, Dongfang
Published: (2024)
Variational Geometry-aware Neural Network based Method for Solving High-dimensional Diffeomorphic Mapping Problems
by: Li, Zhiwen, et al.
Published: (2025)
by: Li, Zhiwen, et al.
Published: (2025)
Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting
by: Lin, Zhenan, et al.
Published: (2025)
by: Lin, Zhenan, et al.
Published: (2025)
Radial Compensation: Fixing Radius Distortion in Chart-Based Generative Models on Riemannian Manifolds
by: Papamichalis, Marios, et al.
Published: (2025)
by: Papamichalis, Marios, et al.
Published: (2025)
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
by: Goh, Yong Liang, et al.
Published: (2024)
by: Goh, Yong Liang, et al.
Published: (2024)
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
by: Zhao, Songwei, et al.
Published: (2025)
by: Zhao, Songwei, et al.
Published: (2025)
NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces
by: Kim, Jiwoo, et al.
Published: (2026)
by: Kim, Jiwoo, et al.
Published: (2026)
Similar Items
-
Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP
by: Lischka, Attila, et al.
Published: (2024) -
EMP: Effective Multidimensional Persistence for Graph Representation Learning
by: Segovia-Dominguez, Ignacio, et al.
Published: (2024) -
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
by: Tulchinskii, Eduard, et al.
Published: (2025) -
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning
by: Wei, Ziquan, et al.
Published: (2024) -
A GREAT Architecture for Edge-Based Graph Problems Like TSP
by: Lischka, Attila, et al.
Published: (2024)