本文开源代码地址:github.com/bowang-lab/G Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces是今年 2 月份来自多伦多大学的文章,本文做的事情描述起来很简单:将 Mamba 模型用于图编码器。 对于graph 数据的建模,除了 GCN 还有Graph Transformer,既然你 Transformer 能用在 graph...
To troubleshoot Mamba installation, please refer tohttps://github.com/state-spaces/mamba. For alternative installation via poetry, refer to poetry_steps.txt. Running Graph-Mamba conda activate graph-mamba#Running Graph-Mamba for Peptides-func datasetpython main.py --cfg configs/Mamba/peptides-func...
@@ -2,8 +2,8 @@ out_dir: results 2 2 metric_best: accuracy 3 3 wandb: 4 4 use: True 5 - project: CIFAR10 6 - entity: expand-gnns 5 + project: GNN-Benchmark-RandomSeed-Exphormer 6 + entity: tf-map 7 7 dataset: 8 8 format: PyG-GNNBenchmarkDataset 9 9 nam...
git = ["pygit2"] github = ["requests"] gs = ["gcsfs"] gui = ["panel"] hdfs = ["pyarrow (>=1)"] http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"] libarchive = ["libarchive-c"] oci = ["ocifs"] s3 = ["s3fs"] ...
The code is available athttps://github.com/Vincent665/MGCN-for-Traffic-Prediction.doi:10.1016/j.knosys.2024.112875Wenxie LinSchool of Transportation, Southeast University, Jiulonghu Campus, Nanjing, 211100, ChinaZhe ZhangSchool of Transportation, Southeast University, Jiulonghu Campus, Nanjing, 211100...
论文研读之HSTGCNT:GCN+transformer的交通流量预测模型 HCHHOH 22:27 论文研读之PatchTST:通道独立的时序Transformer HCHHOH 1.2万121 32:19 论文研读之多变量时间序列预测:FourierGNN将MTS看作纯图做时序预测 HCHHOH 1.8万89 17:36 论文研读之ST-SSL:使用自监督学习做交通流量预测(AAAI23) ...
(permuted_indices) return permuted_indices # path, subset = '/scratch/ssd004/scratch/tsepaole/ZINC_full/', False path, subset = '', #这里数据集需要自己找一下,我在github里面没找到 transform = T.AddRandomWalkPE(walk_length=20, attr_name='pe') train_dataset = ZINC(path, subset=subset,...
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First, create a pytorch docker container using: docker run --shm-size=2g --gpus all -it --rm -v /:/workspace -v /etc/localtime:/etc/localtime:ro nvcr.io/nvidia/pytorch:24.02-py3 Then install all packages listedhereby running the following commands: ...
Official Implementation of STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. - LincanLi98/STG-Mamba