Tag: graph embedding

A new study finds that the robustness of shallow graph embedding methods for community detection under node deletion varies by ...

Researchers at Fuzhou University have developed RCGELM-AE, a graph embedding model that trains in closed form without gradient descent while ...

Researchers have developed DCM-Net, a dual conditional modulation graph attention network that adapts both its input features and its own ...

Researchers at Xidian University have developed GETI-WR, a graph neural network method that estimates worker reliability per task using bias ...