公开(公告)号：US20230169140A1

公开(公告)日：2023-06-01

申请号：US18061697

申请日：2022-12-05

Applicant: Adobe Inc.

Inventor： John Boaz Tsang LEE ,  Ryan ROSSI ,  Sungchul KIM ,  Eunyee KOH ,  Anup RAO

IPC: G06F17/10 ,  G06F16/901 ,  G06N3/08 ,  G06F17/16 ,  G06V10/426 ,  G06F18/21 ,  G06F18/24 ,  G06N3/047 ,  G06V10/82

CPC classification number: G06F17/10 ,  G06F16/9024 ,  G06N3/08 ,  G06F17/16 ,  G06V10/426 ,  G06F18/21 ,  G06F18/24 ,  G06N3/047 ,  G06V10/82

Abstract: Various embodiments describe techniques for making inferences from graph-structured data using graph convolutional networks (GCNs). The GCNs use various pre-defined motifs to filter and select adjacent nodes for graph convolution at individual nodes, rather than merely using edge-defined immediate-neighbor adjacency for information integration at each node. In certain embodiments, the graph convolutional networks use attention mechanisms to select a motif from multiple motifs and select a step size for each respective node in a graph, in order to capture information from the most relevant neighborhood of the respective node.