MulStepNET: stronger multi-step graph convolutional networks via multi-power adjacency matrix combination
作者: 时间:2023-08-07 点击数:

论文题目:MulStepNET: stronger multi-step graph convolutional networks via multi-power adjacency matrix combination

论文作者:Xun Liu, Fangyuan Lei & Guoqing Xia

论文地址:https://link.springer.com/article/10.1007/s12652-021-03355-x


上一条:A blockchain shard storage model suitable for multi-view
下一条:Temporal group-aware graph diffusion networks for dynamic link prediction