jinzhuwei / Awesome_MambaLinks
Welcome to the world of Mamba! This repository is a curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.
☆30Updated 2 months ago
Alternatives and similar repositories for Awesome_Mamba
Users that are interested in Awesome_Mamba are comparing it to the libraries listed below
Sorting:
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆317Updated last year
- Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images☆35Updated 5 months ago
- Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis☆259Updated 4 months ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆32Updated last year
- Implementation of GraphKan with torch geometrics and its application on signal classification☆67Updated last year
- Using Graph Neural Networks to Segment MRIs of Brain Tumors☆28Updated 3 years ago
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆33Updated 5 months ago
- The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"☆311Updated 4 months ago
- Official PyTorch implementation of SGRL in 'Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering' …☆26Updated 10 months ago
- [ICCV2023] "Vision HGNN: An Image is More than a Graph of Nodes" by Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, and Zhangyang Wang☆61Updated 5 months ago
- Official PyTorch implementation of ChAda-ViT [CVPR 2024]☆39Updated 7 months ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- The codes of Hpyergraph Transformer Nerual Networks.☆21Updated last year
- The code Implementation of the paper “KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks".☆29Updated 9 months ago
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆50Updated 2 years ago
- ☆37Updated 7 months ago
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆13Updated last year
- Tensor-based hypergraph neural networks☆18Updated last year
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆173Updated 2 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆166Updated last year
- ☆74Updated last year
- ICLR'24 | Multimodal Patient Representation Learning with Missing Modalities and Labels☆43Updated 8 months ago
- The official implementation of the ICML'24 paper "A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer".☆46Updated 8 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- ICLR'24 | BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs☆76Updated last year
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆55Updated last year
- Directional diffusion models☆43Updated last year
- [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective☆18Updated last year
- DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency (AAAI24)☆57Updated last year