Web本文以dgl中examples的基于pytorch的gcn的训练过程 DGL图卷积网络GCN学习总结 ... (使用dgl.metapath_reachable_graph方法对异构图进行提取操作，提取对象为给定元路径到达的节点，比如"pa-ap"即为经author节点连接的paper节点；使用dgl.to_homogeneous方法将提取节点后的异构图进行 ... WebNov 2, 2024 · """This model shows an example of using dgl.metapath_reachable_graph on the original heterogeneous: graph. Because the original HAN implementation only gives the preprocessed homogeneous graph, this model: could not reproduce the result in HAN as they did not provide the preprocessing code, and we
DGL
Web#model_hetero，异质图下的HAN """This model shows an example of using dgl.metapath_reachable_graph on the original heterogeneous graph. Because the … WebOnly one node type. """ # mini batch if isinstance (g, dict): h = self. model (g, h) # full batch else: if self. _cached_graph is None or self. _cached_graph is not g: self. _cached_graph = g self. _cached_coalesced_graph. clear for mp, mp_value in self. meta_paths_dict. items (): self. _cached_coalesced_graph [mp] = dgl. metapath_reachable ... reached a new high
【dgl框架】dgl.metapath_reachable_graph函数解析
WebFeb 5, 2024 · MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King. A large number of real-world graphs or networks are inherently heterogeneous, involving a diversity of node types and relation types. Heterogeneous graph embedding is to embed rich structural and … Web需要注意的是ACM这个数据集，DGL又搞了一份同名的出来。(狗狗摇头.gif) “”“This model shows an example of using dgl.metapath_reachable_graph on the original heterogeneous graph. Because the original HAN implementation only gives the preprocessed homogeneous graph, this model Webclass dgl.transforms. AddMetaPaths (metapaths, keep_orig_edges = True) [source] ¶ Bases: dgl.transforms.module.BaseTransform. Add new edges to an input graph based … reached a stable level