MUMBAI, India, May 30 -- Intellectual Property India has published a patent application (202341080166 A) filed by Mastercard International Incorporated, Purchase, U.S.A., on Nov. 25, 2023, for 'methods and systems for learning representations for nodes of a temporal bipartite graph.'
Inventor(s) include Pritam Kumar Nath; Govind Vitthal Waghmare; Nikhil Tumbde; Nitish Kumar; and Siddhartha Asthana.
The application for the patent was published on May 30, under issue no. 22/2025.
According to the abstract released by the Intellectual Property India: "Methods and systems for learning representations for nodes of temporal bipartite graph. Method performed by server system includes accessing temporal bipartite graph including first nodes, and second nodes. Each first node has first features and each second node has second features. Method includes generating, by Graph Neural Network (GNN) model, first interim representations for each first node based on first features corresponding to each of a set of temporal two-hop neighbor nodes of each first node. Method includes computing first homogeneous representation for each first node based on first interim representations and first features of each first node. Method includes computing first global homogeneous representation for each first node based on first homogeneous representation for each first node. Method includes computing first local heterogeneous representation for each first node based on first homogeneous representation for each first node."
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