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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 | HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model | Zhenyu Pan, Yoonsung Jeong, Xiaoda Liu, Han Liu | 2024-05-22 | ArXiv | 1 | 6 |
| visibility_off | Graph Mamba: Towards Learning on Graphs with State Space Models | Ali Behrouz, Farnoosh Hashemi | 2024-02-13 | ArXiv, DBLP | 51 | 9 |
| visibility_off | Learning Long Range Dependencies on Graphs via Random Walks | Dexiong Chen, Till Hendrik Schulz, Karsten M. Borgwardt | 2024-06-05 | ArXiv | 2 | 8 |
| 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 | ArXiv | 0 | 4 |
| 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 | 7 | 4 |
| visibility_off | Context Sketching for Memory-efficient Graph Representation Learning | Kai-Lang Yao, Wusuo Li | 2023-12-01 | 2023 IEEE International Conference on Data Mining (ICDM) | 0 | 4 |
| visibility_off | A Scalable and Effective Alternative to Graph Transformers | Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, M. F. Balin, Ümit V. Çatalyürek | 2024-06-17 | ArXiv | 1 | 7 |
| visibility_off | Hierarchical Graph Transformer with Adaptive Node Sampling | Zaixin Zhang, Qi Liu, Qingyong Hu, Cheekong Lee | 2022-10-08 | ArXiv | 74 | 19 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |