Cover Image

Tensor State Space-based Dynamic Multilayer Network Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lan, Tian, Guo, Jie, Zhang, Chen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

T-GINEE: A Tensor-Based Multilayer Graph Representation Learning
by: Wang, Maolin, et al.
Published: (2026)

Tensor-Networks-based Learning of Probabilistic Cellular Automata Dynamics
by: Casagrande, Heitor P., et al.
Published: (2024)

Combinatorial Bandit Bayesian Optimization for Tensor Outputs
by: Huang, Jingru, et al.
Published: (2026)

Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
by: Qiu, Zirou, et al.
Published: (2024)

Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
by: Zandi, Sahab, et al.
Published: (2024)

JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention
by: Tian, Yuandong, et al.
Published: (2023)

A Transfer Learning Framework for Multilayer Networks via Model Averaging
by: Qiu, Yongqin, et al.
Published: (2025)

Scaling State-Space Models on Multiple GPUs with Tensor Parallelism
by: Dutt, Anurag, et al.
Published: (2026)

Efficient State Space Model via Fast Tensor Convolution and Block Diagonalization
by: Liang, Tongyi, et al.
Published: (2024)

Comb Tensor Networks vs. Matrix Product States: Enhanced Efficiency in High-Dimensional Spaces
by: Kolesnyk, Danylo, et al.
Published: (2024)

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
by: Li, Dongyuan, et al.
Published: (2024)

Accelerating Inference for Multilayer Neural Networks with Quantum Computers
by: Rattew, Arthur G., et al.
Published: (2025)

Latent Space Topology Evolution in Multilayer Perceptrons
by: Paluzo-Hidalgo, Eduardo
Published: (2025)

Sparsified State-Space Models are Efficient Highway Networks
by: Song, Woomin, et al.
Published: (2025)

Spectral State Space Models
by: Agarwal, Naman, et al.
Published: (2023)

Demystifying the Token Dynamics of Deep Selective State Space Models
by: Vo, Thieu N, et al.
Published: (2024)

An Adaptive Latent Factorization of Tensors Model for Embedding Dynamic Communication Network
by: Liao, Xin, et al.
Published: (2024)

Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics
by: Shi, Liang, et al.
Published: (2026)

CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?
by: Wang, Jie, et al.
Published: (2025)

Controllability Analysis of State Space-based Language Model
by: Mabrok, Mohamed, et al.
Published: (2025)

Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry
by: Zhang, Zuyuan, et al.
Published: (2026)

Dynamic QoS Prediction via a Non-Negative Tensor Snowflake Factorization
by: Xia, YongHui, et al.
Published: (2025)

Hypergraph Neural Network with State Space Models for Node Classification
by: Quadir, A., et al.
Published: (2025)

State-Space Models for Tabular Prior-Data Fitted Networks
by: Koch, Felix, et al.
Published: (2025)

Tensor Network Based Feature Learning Model
by: Saiapin, Albert, et al.
Published: (2025)

StreamPhy: Streaming Inference of High-Dimensional Physical Dynamics via State Space Models
by: Chen, Panqi, et al.
Published: (2026)

A Theoretical Analysis of Mamba's Training Dynamics: Filtering Relevant Features for Generalization in State Space Models
by: Shandirasegaran, Mugunthan, et al.
Published: (2026)

State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
by: Nishikawa, Naoki, et al.
Published: (2024)

Simple Full-Spectrum Correlated k-Distribution Model based on Multilayer Perceptron
by: Wang, Xin, et al.
Published: (2024)

State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
by: Kang, Wonjun, et al.
Published: (2025)

Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
by: Han, Minglian
Published: (2025)

Water Quality Data Imputation via A Fast Latent Factorization of Tensors with PID-based Optimizer
by: Liu, Qian, et al.
Published: (2025)

Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso
by: Higashiguchi, Shingo, et al.
Published: (2026)

Delays in Spiking Neural Networks: A State Space Model Approach
by: Karilanova, Sanja, et al.
Published: (2025)

GrassNet: State Space Model Meets Graph Neural Network
by: Zhao, Gongpei, et al.
Published: (2024)

Tensor Dynamic Mode Decomposition
by: He, Ziqin, et al.
Published: (2025)

Cochain Perspectives on Temporal-Difference Signals for Learning Beyond Markov Dynamics
by: Zhang, Zuyuan, et al.
Published: (2026)

DiffATS: Diffusion in Aligned Tensor Space
by: Lyu, Jinhua, et al.
Published: (2026)

Factor Augmented Tensor-on-Tensor Neural Networks
by: Zhou, Guanhao, et al.
Published: (2024)

Offline Imitation Learning with Model-based Reverse Augmentation
by: Shao, Jie-Jing, et al.
Published: (2024)