Network Distance Based on Laplacian Flows on Graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Bao, Dianbin, You, Kisung, Lin, Lizhen |
|---|---|
| Format: | Preprint |
| Published: |
2018
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Particle-Flow Algorithm for Free-Support Wasserstein Barycenters
by: You, Kisung
Published: (2025)
by: You, Kisung
Published: (2025)
Semantics at an Angle: When Cosine Similarity Works Until It Doesn't
by: You, Kisung
Published: (2025)
by: You, Kisung
Published: (2025)
Scale-Calibrated Median-of-Means for Robust Distributed Principal Component Analysis
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Constant Metric Scaling in Riemannian Computation
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Quotient-Based Posterior Analysis for Euclidean Latent Space Models
by: You, Kisung, et al.
Published: (2026)
by: You, Kisung, et al.
Published: (2026)
Scalable Geometric Learning with Correlation-Based Functional Brain Networks
by: You, Kisung, et al.
Published: (2025)
by: You, Kisung, et al.
Published: (2025)
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
PCA, SVD, and Centering of Data
by: Kim, Donggun, et al.
Published: (2023)
by: Kim, Donggun, et al.
Published: (2023)
Learning over von Mises-Fisher Distributions via a Wasserstein-like Geometry
by: You, Kisung, et al.
Published: (2025)
by: You, Kisung, et al.
Published: (2025)
Schreier-Coset Graph Propagation
by: Mishra, Aryan, et al.
Published: (2025)
by: Mishra, Aryan, et al.
Published: (2025)
Flow Matching is Adaptive to Manifold Structures
by: Kumar, Shivam, et al.
Published: (2026)
by: Kumar, Shivam, et al.
Published: (2026)
Predicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph Laplacian
by: Manir, Shalima Binta, et al.
Published: (2025)
by: Manir, Shalima Binta, et al.
Published: (2025)
Beyond the Laplacian: Interpolated Spectral Augmentation for Graph Neural Networks
by: Cui, Ziyao, et al.
Published: (2025)
by: Cui, Ziyao, et al.
Published: (2025)
Enhancing Robustness of Graph Neural Networks through p-Laplacian
by: Sirohi, Anuj Kumar, et al.
Published: (2025)
by: Sirohi, Anuj Kumar, et al.
Published: (2025)
Enhancing Robustness of Graph Neural Networks through p-Laplacian
by: Sirohi, Anuj Kumar, et al.
Published: (2024)
by: Sirohi, Anuj Kumar, et al.
Published: (2024)
Beyond the Laplacian: Doubly Stochastic Matrices for Graph Neural Networks
by: Hu, Zhaobo, et al.
Published: (2026)
by: Hu, Zhaobo, et al.
Published: (2026)
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
by: Lee, Kyeongwon, et al.
Published: (2025)
by: Lee, Kyeongwon, et al.
Published: (2025)
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation
by: Wang, Weihua, et al.
Published: (2024)
by: Wang, Weihua, et al.
Published: (2024)
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)
Adaptive variational Bayes: Optimality, computation and applications
by: Ohn, Ilsang, et al.
Published: (2021)
by: Ohn, Ilsang, et al.
Published: (2021)
Graph Distance Based on Cause-Effect Estimands with Latents
by: Li, Zhufeng, et al.
Published: (2025)
by: Li, Zhufeng, et al.
Published: (2025)
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
by: Ding, Haipeng, et al.
Published: (2025)
by: Ding, Haipeng, et al.
Published: (2025)
Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
by: Oh, Jeunghun, et al.
Published: (2026)
by: Oh, Jeunghun, et al.
Published: (2026)
Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
by: Lin, Xiaofeng, et al.
Published: (2026)
by: Lin, Xiaofeng, et al.
Published: (2026)
Learning Graph Laplacian with MCP
by: Zhang, Yangjing, et al.
Published: (2020)
by: Zhang, Yangjing, et al.
Published: (2020)
Learning Laplacian Positional Encodings for Heterophilous Graphs
by: Ito, Michael, et al.
Published: (2025)
by: Ito, Michael, et al.
Published: (2025)
Learning Cartesian Product Graphs with Laplacian Constraints
by: Shi, Changhao, et al.
Published: (2024)
by: Shi, Changhao, et al.
Published: (2024)
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
by: Karmim, Yannis, et al.
Published: (2024)
by: Karmim, Yannis, et al.
Published: (2024)
Flow-Attentional Graph Neural Networks
by: Plettenberg, Pascal, et al.
Published: (2025)
by: Plettenberg, Pascal, et al.
Published: (2025)
TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
Generalized Dirichlet Energy and Graph Laplacians for Clustering Directed and Undirected Graphs
by: Sevi, Harry, et al.
Published: (2022)
by: Sevi, Harry, et al.
Published: (2022)
GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning
by: Wei, Shuyue, et al.
Published: (2026)
by: Wei, Shuyue, et al.
Published: (2026)
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
by: Kumar, Shivam, et al.
Published: (2024)
by: Kumar, Shivam, et al.
Published: (2024)
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
by: Gholipour, Hamed, et al.
Published: (2024)
by: Gholipour, Hamed, et al.
Published: (2024)
Principled Latent Diffusion for Graphs via Laplacian Autoencoders
by: Siraudin, Antoine, et al.
Published: (2026)
by: Siraudin, Antoine, et al.
Published: (2026)
DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
Variational Bayesian Flow Network for Graph Generation
by: Xiong, Yida, et al.
Published: (2026)
by: Xiong, Yida, et al.
Published: (2026)
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
by: Feng, Tao, et al.
Published: (2025)
by: Feng, Tao, et al.
Published: (2025)
ATM-GAD: Adaptive Temporal Motif Graph Anomaly Detection for Financial Transaction Networks
by: Zhang, Zeyue, et al.
Published: (2025)
by: Zhang, Zeyue, et al.
Published: (2025)
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors
by: Zhou, Junru, et al.
Published: (2024)
by: Zhou, Junru, et al.
Published: (2024)
Similar Items
-
A Particle-Flow Algorithm for Free-Support Wasserstein Barycenters
by: You, Kisung
Published: (2025) -
Semantics at an Angle: When Cosine Similarity Works Until It Doesn't
by: You, Kisung
Published: (2025) -
Scale-Calibrated Median-of-Means for Robust Distributed Principal Component Analysis
by: You, Kisung
Published: (2026) -
Constant Metric Scaling in Riemannian Computation
by: You, Kisung
Published: (2026) -
Quotient-Based Posterior Analysis for Euclidean Latent Space Models
by: You, Kisung, et al.
Published: (2026)