Skip to content

This page was last updated on 2026-03-09 06:30:46 UTC

Recommendations for the article Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index
visibility_off Structure-Aware Mamba: A Linear-Complexity Model for Graph Representation Learning With Global Receptive Fields Zelong Yang, Shuyan Fang, Yi Cai, Bo Chen, Xiaoping Min 2026-02-09 The European Journal on Artificial Intelligence 0 3
visibility_off HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model Zhenyu Pan, Yoonsun Jeong, Xiaodan Liu, Han Liu 2024-05-22 ArXiv 1 11
visibility_off Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz, Farnoosh Hashemi 2024-02-13 Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 129 14
visibility_off Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Xingbo He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang 2025-01-26 DBLP, ArXiv 5 7
visibility_off Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen, Till Hendrik Schulz, Karsten M. Borgwardt 2024-06-05 ArXiv 20 11
visibility_off HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling Thomas Bailie, Yun Sing Koh, S. K. Mukkavilli 2024-11-18 Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining 1 6
visibility_off What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang, Siqi Miao, Pan Li 2024-06-09 ArXiv 11 6
visibility_off A Scalable and Effective Alternative to Graph Transformers Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, A. Malevich, Bo Long, M. F. Balin, Ümit V. Çatalyürek 2024-06-17 ArXiv 4 7
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index