KNNGraph。根据节点坐标pos,创建一个K邻近图(原图只有点,没有边,相当于自定义边),类似的操作有RadiusGraph(基于半径阈值) ToDense。将一个稀疏的邻接矩阵转换为方阵,大小为[num_nodes, num_nodes, *]; TwoHop。将两条节点关系加入到edge_index中; LineGraph。将一个图转换为线图,新图的节点特征为原图边特征,...
fromtorch_geometric.datasetsimportShapeNet# 1. 普通转换dataset=ShapeNet(root='/tmp/ShapeNet',categories=['Airplane'])dataset[0]# Data(pos=[2518, 3], y=[2518])# 2. 基于最近邻的转换dataset=ShapeNet(root='/tmp/ShapeNet',categories=['Airplane'],pre_transform=T.KNNGraph(k=6))dataset[0]# D...
edge_index = knn_graph(x, self.k, batch, loop=False, flow=self.flow) return super(DynamicEdgeConv, self).forward(x, edge_index)
dataset = ShapeNet(root='/tmp/ShapeNet', categories=['Airplane'], pre_transform=T.KNNGraph(k=6)) dataset[0] >>> Data(edge_index=[2, 15108], pos=[2518, 3], y=[2518]) 1. 2. 3. 4. 5. 6. 7. 8. **注意:**在将数据保存到磁盘之前,我们使用pre_transform对数据进行转换(从而加快...
在这里,knn_graph()计算一个最近邻图,该图进一步用于调用EdgeConv的方法。forward() 这给我们留下了一个干净的接口来初始化和调用这个层: conv = DynamicEdgeConv(3, 128, k=6)x = conv(x, batch)
还可以通过transform在一定范围内随机平移每个点,增加坐标上的扰动,做数据增强: import torch_geometric.transforms as Tfrom torch_geometric.datasets import ShapeNetdataset = ShapeNet(root='/tmp/ShapeNet', categories=['Airplane'],pre_transform=T.KNNGraph(k=6),transform=T.RandomTranslate(0.01))# dataset[...
❓ Questions & Help Hi, I'm new to pytorch_geometric, while trying to call knn_graph() I encountered the following error: TypeError: knn_graph() takes from 2 to 6 positional arguments but 7 were given It is raises from the initialization ...
Added approximate faiss-based KNN-search capabilities via ApproxKNN (#8952, #9046) torch_geometric.metrics Added the LinkPredMRR metric (#9632) torch_geometric.transforms Added the RemoveSelfLoops transformation (#9562) torch_geometric.utils Added normalize_edge_index() for symmetric/asymmetric norma...
KNNK近邻回归模型 网格搜索算法 数据标准化 转载 AIGC创想家 9月前 53阅读 pythonn中PyG缩写是什么意思 ###PyG:探索图神经网络的世界 在深度学习的众多分支中,图神经网络(Graph Neural Networks, GNNs)正在日益受到关注。PyG,这是“PyTorch Geometric”的缩写,是一个用于图神经网络的库,旨在简化图数据的处理和模...
Added KNNIndex exclusion logic (#8573) Added support for MRR computation in KGEModel.test() (#8298) Added support for nn.to_hetero_with_bases on static graphs (#8247) Addressed graph breaks in ModuleDict, ParameterDict, MultiAggregation and HeteroConv for better support for torch.compile (#83...