Graph Mamba: Towards Learning on Graphs with State Space Models

13 February 2024

Papers citing "Graph Mamba: Towards Learning on Graphs with State Space Models"

20 / 20 papers shown

Title
A Survey of Graph Transformers: Architectures, Theories and Applications Chaohao Yuan Kangfei Zhao Ercan Engin Kuruoglu Liang Wang Tingyang Xu Wenbing Huang Deli Zhao Hong Cheng Yu Rong 51 4 0 23 Feb 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Xin He Y. Wang Wenqi Fan Xu Shen Xin Juan Rui Miao Xin Wang 68 0 0 26 Jan 2025
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers Ashish Parmanand Pandey Alan John Varghese Sarang Patil Mengjia Xu Mamba 108 0 0 15 Dec 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba Masakazu Yoshimura Teruaki Hayashi Yota Maeda Mamba 100 2 0 06 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 49 0 0 03 Nov 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba Li Wu Wenbin Pei Jiulong Jiao Qiang Zhang Mamba AI4TS 32 2 0 15 Oct 2024
Mambular: A Sequential Model for Tabular Deep Learning Anton Thielmann Manish Kumar Christoph Weisser Arik Reuter Benjamin Säfken Soheila Samiee Mamba LMTD 73 6 0 12 Aug 2024
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba Haoye Dong Aviral Chharia Wenbo Gou Francisco Vicente Carrasco Fernando De la Torre Mamba 49 2 0 12 Jul 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 56 9 0 11 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md. Atik Ahamed Qiang Cheng Mamba 63 1 0 06 Jun 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting Xiuding Cai Yaoyao Zhu Xueyao Wang Yu Yao Mamba AI4TS 35 7 0 26 May 2024
Activating Wider Areas in Image Super-Resolution Cheng Cheng Hang Wang Hongbin Sun 34 10 0 13 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng Zichao Yue Zhiru Zhang 90 23 0 02 Mar 2024
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation Jun Ma Feifei Li Bo Wang Mamba 80 330 0 09 Jan 2024
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 70 81 0 08 Oct 2022
Deformable Graph Transformer Jinyoung Park Seongjun Yun Hyeon-ju Park Jaewoo Kang Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 84 7 0 29 Jun 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 70 25 0 24 May 2022
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 76 27 0 17 Feb 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 262 2,013 0 28 Jul 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 914 0 02 Mar 2020