Copertina

Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Chloe, Tsepa, Oleksii, Ma, Jun, Wang, Bo
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
di: Choi, Jinhyeok, et al.
Pubblicazione: (2024)

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

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

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

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

Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning
di: Atitallah, Safa Ben, et al.
Pubblicazione: (2024)

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

Block-Biased Mamba for Long-Range Sequence Processing
di: Yu, Annan, et al.
Pubblicazione: (2025)

HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Prediction
di: Yu, Dahai, et al.
Pubblicazione: (2026)

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

GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model
di: Fu, Yali, et al.
Pubblicazione: (2025)

Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
di: Ceni, Andrea, et al.
Pubblicazione: (2025)

State Space Models over Directed Graphs
di: She, Junzhi, et al.
Pubblicazione: (2025)

EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction
di: Yu, Dahai, et al.
Pubblicazione: (2026)

Long-Range Graph Wavelet Networks
di: Guerranti, Filippo, et al.
Pubblicazione: (2025)

Analysis of Long Range Dependency Understanding in State Space Models
di: Ravikumar, Srividya, et al.
Pubblicazione: (2026)

Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
di: Liang, Huidong, et al.
Pubblicazione: (2025)

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

Graph Hierarchical Recurrence for Long-Range Generalization
di: Carotti, Stefano, et al.
Pubblicazione: (2026)

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
di: Ding, Zifeng, et al.
Pubblicazione: (2024)

State Space Models on Temporal Graphs: A First-Principles Study
di: Li, Jintang, et al.
Pubblicazione: (2024)

On Measuring Long-Range Interactions in Graph Neural Networks
di: Bamberger, Jacob, et al.
Pubblicazione: (2025)

Mamba State-Space Models Are Lyapunov-Stable Learners
di: Halloran, John T., et al.
Pubblicazione: (2024)

HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model
di: Ma, Mingqian, et al.
Pubblicazione: (2025)

Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
di: Wang, Kai, et al.
Pubblicazione: (2024)

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

A HyperGraphMamba-Based Multichannel Adaptive Model for ncRNA Classification
di: An, Xin, et al.
Pubblicazione: (2025)

MemMamba: Rethinking Memory Patterns in State Space Model
di: Wang, Youjin, et al.
Pubblicazione: (2025)

UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
di: Chen, Xingsheng, et al.
Pubblicazione: (2026)

GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention
di: Li, Yang, et al.
Pubblicazione: (2021)

Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics
di: Zhang, Wenqing, et al.
Pubblicazione: (2024)

Chimera: State Space Models Beyond Sequences
di: Lahoti, Aakash, et al.
Pubblicazione: (2025)

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

VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention
di: Zhou, Jingbo, et al.
Pubblicazione: (2026)

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking
di: Wang, Shiao, et al.
Pubblicazione: (2025)

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

CCMamba: Topologically-Informed Selective State-Space Networks on Combinatorial Complexes for Higher-Order Graph Learning
di: Chen, Jiawen, et al.
Pubblicazione: (2026)

Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling
di: Zhang, Dehao, et al.
Pubblicazione: (2025)

Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
di: Choi, Jeongwhan, et al.
Pubblicazione: (2025)

Decision MetaMamba: Enhancing Selective SSM in Offline RL with Heterogeneous Sequence Mixing
di: Kim, Wall, et al.
Pubblicazione: (2024)