Invention Publication
- Patent Title: SELECTING NEURAL NETWORK ARCHITECTURES BASED ON COMMUNITY GRAPHS
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Application No.: US17524574Application Date: 2021-11-11
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Publication No.: US20230142885A1Publication Date: 2023-05-11
- Inventor: Sarah Ann Laszlo , Hailey Anne Trier
- Applicant: X Development LLC
- Applicant Address: US CA Mountain View
- Assignee: X Development LLC
- Current Assignee: X Development LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G06N3/06
- IPC: G06N3/06 ; G06N3/04 ; G06F16/901

Abstract:
In one aspect, there is provided a method performed by one or more data processing apparatus, the method including: obtaining data defining a connectivity graph that represents synaptic connectivity between multiple biological neuronal elements in a brain of a biological organism, where the connectivity graph includes: multiple nodes, and multiple edges that each connect a respective pair of nodes, determining a partition of the connectivity graph into multiple community sub-graphs by performing an optimization that encourages a higher measure of connectedness between nodes included within each community sub-graph relative to nodes included in different community sub-graphs, and selecting a neural network architecture for performing a machine learning task using multiple community sub-graphs determined by the optimization that encourages the higher measure of connectedness between nodes included within each community sub-graph relative to nodes included in different community sub-graphs.
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