dataset=CoraGraphDataset()# Cora citation network datasetgraph=dataset[0]graph=dgl.remove_self_loop(graph)# 消除自环node_features=graph.ndata['feat']node_labels=graph.ndata['label']train_mask=graph.ndata['train_mask']valid_mask=graph.ndata['val_mask']test_mask=graph.ndata['test_mask']...
num_classes= labels.shape[1] labels= labels.nonzero()[:, 1]ifremove_self_loop: num_nodes= data['label'].shape[0] data['PAP'] = sparse.csr_matrix(data['PAP'] -np.eye(num_nodes)) data['PLP'] = sparse.csr_matrix(data['PLP'] -np.eye(num_nodes))#Adjacency matrices for meta ...
self.layers=nn.ModuleList()#input layer#GraphConv,DGL提供的基础卷积层,需要输入特征,输出特征,激活函数。(图数据已经默认加载)self.layers.append(GraphConv(in_feats,n_hidden,activation=activation))#hidden layers#添加隐藏层,输入输出维度不变,n_layers 默认为0foriinrange(n_layers-1):self.layers.append...
defload_cora_data():data=citegrh.load_cora()features=th.FloatTensor(data.features)labels=th.LongTensor(data.labels)mask=th.ByteTensor(data.train_mask)g=data.graph # add self loop g.remove_edges_from(g.selfloop_edges())g=DGLGraph(g)g.add_edges(g.nodes(),g.nodes())returng,features,l...
def forward(self, node): h = self.linear(node.data['h']) h = self.activation(h) return {'h' : h} 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. step 4,我们定义 GCN 的Embedding更新层,以实现在所有节点上进行消息传递,并利用 NodeApplyModule 对节点信息进行计算更新。
AddSelfLoop() ) # by default, it will first remove self-loops to prevent duplication if args.dataset == "cora": data = CoraGraphDataset(transform=transform) elif args.dataset == "citeseer": data = CiteseerGraphDataset(transform=transform) elif args.dataset == "pubmed": data = PubmedGrap...
# 需要导入模块: import dgl [as 别名]# 或者: from dgl importDGLGraph[as 别名]defforward(self, pos, centroids, feat=None):dev = pos.device group_idx = self.frnn(pos, centroids) B, N, _ = pos.shape glist = []foriinrange(B): ...
(in_dim=features.size(1),hidden_dim=8,out_dim=7,num_heads=2)print(net)# create optimizeroptimizer=torch.optim.Adam(net.parameters(),lr=1e-3)# main loopdur=[]forepochinrange(30):ifepoch>=3:t0=time.time()logits=net(g,features)logp=F.log_softmax(logits,1)loss=F.nll_loss(logp[...
More AI Features Eraser 2.0 Smarter way to remove unwanted objects Night Vision Mode See the full beauty of the night Recording Summary smarter way to summarize key information Smart Loop 2.0 Smarter way to switch Studio Smarter way to elevate your imageSEIZE UNEXPLORED MOMENTS...
( AddSelfLoop() ) # by default, it will first remove self-loops to prevent duplication if args.dataset == "cora": data = CoraGraphDataset(transform=transform) elif args.dataset == "citeseer": data = CiteseerGraphDataset(transform=transform) elif args.dataset == "pubmed": data = Pubmed...