Cover Image

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Xin, Wang, Yili, Dai, Yiwei, Wang, Xin
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

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
by: He, Xin, et al.
Published: (2025)

Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling
by: Shen, Xu, et al.
Published: (2025)

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
by: Yuan, Haonan, et al.
Published: (2024)

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
by: Zhu, Lianghui, et al.
Published: (2024)

MambaByte: Token-free Selective State Space Model
by: Wang, Junxiong, et al.
Published: (2024)

Graph Defense Diffusion Model
by: He, Xin, et al.
Published: (2025)

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model
by: Li, Lincan, et al.
Published: (2024)

KOSS: Kalman-Optimal Selective State Spaces for Long-Term Sequence Modeling
by: Wang, Lei, et al.
Published: (2025)

MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
by: Behrouz, Ali, et al.
Published: (2024)

Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
by: Wang, Chloe, et al.
Published: (2024)

Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces
by: Ota, Toshihiro
Published: (2024)

PerfMamba: Performance Analysis and Pruning of Selective State Space Models
by: Asif, Abdullah Al, et al.
Published: (2025)

SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model
by: Shams, Siavash, et al.
Published: (2024)

ss-Mamba: Semantic-Spline Selective State-Space Model
by: Ye, Zuochen
Published: (2025)

Mamba: Linear-Time Sequence Modeling with Selective State Spaces
by: Gu, Albert, et al.
Published: (2023)

MambaLRP: Explaining Selective State Space Sequence Models
by: Jafari, Farnoush Rezaei, et al.
Published: (2024)

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
by: Fu, Xingbo, et al.
Published: (2024)

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning
by: Zhao, Chongyang, et al.
Published: (2024)

MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
by: Cai, Xiuding, et al.
Published: (2024)

Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
by: Wang, Yili, et al.
Published: (2024)

Lost in State Space: Probing Frozen Mamba Representations
by: Wagh, Bhagyashree, et al.
Published: (2026)

Graph Mamba: Towards Learning on Graphs with State Space Models
by: Behrouz, Ali, et al.
Published: (2024)

Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias
by: He, Xin, et al.
Published: (2024)

HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
by: Pan, Zhenyu, et al.
Published: (2024)

CrystalICL: Enabling In-Context Learning for Crystal Generation
by: Wang, Ruobing, et al.
Published: (2025)

UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks
by: Wang, Xiaotang, et al.
Published: (2024)

DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models
by: He, Wei, et al.
Published: (2024)

Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
by: Shen, Xu, et al.
Published: (2024)

Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
by: Wang, Yili
Published: (2024)

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

Node2Vec-DGI-EL: A Hierarchical Graph Representation Learning Model for Ingredient-Disease Association Prediction
by: Zhang, Leifeng, et al.
Published: (2025)

SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2024)

EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation
by: Wang, Yuda, et al.
Published: (2024)

Mamba-3: Improved Sequence Modeling using State Space Principles
by: Lahoti, Aakash, et al.
Published: (2026)

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
by: Zhan, Zheng, et al.
Published: (2025)

Swimba: Switch Mamba Model Scales State Space Models
by: Du, Zhixu, et al.
Published: (2026)

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN
by: Wang, Shilong, et al.
Published: (2024)

ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction
by: Shao, Zhiqi, et al.
Published: (2024)

FR-Mamba: Time-Series Physical Field Reconstruction Based on State Space Model
by: Long, Jiahuan, et al.
Published: (2025)

MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
by: Pióro, Maciej, et al.
Published: (2024)