Patent ID: 11921697
Assignee: FRAUD.NET, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The method of claim 1, wherein applying the machine learning graph convolution process comprises:
for a particular edge of the edges of the first graph representation, i) generating a corresponding edge vector based on an edge value representing the particular edge, node values representative of a respective source node and destination node in the first graph representation for the particular edge, and a global state value associated with the first graph representation, and ii) applying an edge multi-layer perceptron unit to generate a resultant transformed edge corresponding to the particular edge; and
for a particular node of the nodes of the first graph representation, iii) generating a corresponding node vector based on the particular node of the first graph representation and edges in the first graph representation connected to the particular node, and iv) applying a node multi-layer perceptron unit to generate a resultant transformed node corresponding to the particular node.