%cd /home/aistudio/deepwalk !CUDA_VISIBLE_DEVICES=0 python train.py --use_cuda In [ ] # multiclass task example !python multi_class.py 部分结果展示: [INFO] 2022-11-13 22:44:29,956 [ train.py: 81]: Batch 7990 train-Loss 0.456979 [INFO] 2022-11-13 22:44:30,900 [ train.py:...
通过运行以下命令安装torch-cluster：pip install torch-cluster 但由于它依赖于特定版本的PyTorch和CUDA，...
device = torch.device("cuda" if torch.cuda.is_available() else "cpu") node_embedding = NodeEmbedding(graph_data.num_features).to(device) #训练节点嵌入层 graph_data = graph_data.to(device) embeddings = node_embedding(graph_data) ``` 5.将嵌入应用于图数据: ```python #将嵌入添加到图数...
['CUDA_VISIBLE_DEVICES'] = args.gpu inputs = Inputs(vertex_type=[0], edge_types=[0], walk_length=3, repetition=5, walk_p=1., walk_q=1., context_size=2, negative_num=5, data_source_name=args.data_source_name) model_args = dict( embedding_size=args.max_id + 1, embedding_...
DefTruth @xlite-dev, LeetCUDA, HPC. w2v 也是我是当年入门 nlp 时用自己的破 1080+TF 跑的首个算法,怀念～ 10年前,word2vec经典论文就预定了今天的NeurIPS时间检验奖 发布于 2023-12-12 17:18・IP 属地广东 赞同 分享
但由于它依赖于特定版本的PyTorch和CUDA，使用提供的安装命令安装PyTorch Geometric及其所有组件可能更容易。
%cd /home/aistudio/deepwalk !CUDA_VISIBLE_DEVICES=0 python train.py --use_cuda In [ ] # multiclass task example !python multi_class.py 部分结果展示: [INFO] 2022-11-13 22:44:29,956 [ train.py: 81]: Batch 7990 train-Loss 0.456979 [INFO] 2022-11-13 22:44:30,900 [ train.py:...
%cd /home/aistudio/deepwalk !CUDA_VISIBLE_DEVICES=0 python train.py --use_cuda In [ ] # multiclass task example !python multi_class.py 部分结果展示: [INFO] 2022-11-13 22:44:29,956 [ train.py: 81]: Batch 7990 train-Loss 0.456979 [INFO] 2022-11-13 22:44:30,900 [ train.py:...
[INFO] 2022-11-11 14:29:53,530 [my_node2vec.py: 393]: Namespace(batch_size=512, dataset='ArXiv', epoch=20, hidden_size=128, neg_num=20, offline_learning=False, p=0.25, processes=2, q=0.25, save_path='./tmp/node2vec', use_cuda=False, use_my_model=True, use_my_sample=...