matlab写代码怎么换行
时间: 2023-12-30 20:02:06 浏览: 26
以下是使用PyTorch实现的GCN图嵌入代码:
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
class GCN(nn.Module):
def __init__(self, in_features, hidden_features, out_features):
super(GCN, self).__init__()
self.fc1 = nn.Linear(in_features, hidden_features)
self.fc2 = nn.Linear(hidden_features, out_features)
def forward(self, x, adj):
x = F.relu(self.fc1(torch.spmm(adj, x)))
x = self.fc2(torch.spmm(adj, x))
return x
class GraphDataset():
def __init__(self, adj_matrix, features_matrix, labels):
self.adj_matrix = adj_matrix
self.features_matrix = features_matrix
self.labels = labels
def __len__(self):
return len(self.labels)
def __getitem__(self, idx):
return self.adj_matrix[idx], self.features_matrix[idx], self.labels[idx]
def train(model, optimizer, criterion, dataloader):
model.train()
for adj, features, labels in dataloader:
optimizer.zero_grad()
outputs = model(features, adj)
loss = criterion(outputs, labels)
loss.backward()
optimizer.step()
def test(model, dataloader