Invention Application
- Patent Title: HYPERGRAPH REPRESENTATION LEARNING
-
Application No.: US18358502Application Date: 2023-07-25
-
Publication No.: US20250036936A1Publication Date: 2025-01-30
- Inventor: Ryan A. Rossi , Ryan Aponte , Shunan Guo , Jane Elizabeth Hoffswell , Nedim Lipka , Chang Xiao , Yeuk-yin Chan , Eunyee Koh
- Applicant: ADOBE INC.
- Applicant Address: US CA SAN JOSE
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA SAN JOSE
- Main IPC: G06N3/08
- IPC: G06N3/08

Abstract:
A method, apparatus, and non-transitory computer readable medium for hypergraph processing are described. Embodiments of the present disclosure obtain, by a hypergraph component, a hypergraph that includes a plurality of nodes and a hyperedge, wherein the hyperedge connects the plurality of nodes; perform, by a hypergraph neural network, a node hypergraph convolution based on the hypergraph to obtain an updated node embedding for a node of the plurality of nodes; and generate, by the hypergraph component, an augmented hypergraph based on the updated node embedding.
Information query