Invention Publication
- Patent Title: GRAPH NEURAL NETWORK SYSTEMS FOR GENERATING STRUCTURED REPRESENTATIONS OF OBJECTS
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Application No.: US18144810Application Date: 2023-05-08
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Publication No.: US20240054328A1Publication Date: 2024-02-15
- Inventor: Yujia Li , Christopher James Dyer , Oriol Vinyals
- Applicant: DeepMind Technologies Limited
- Applicant Address: GB London
- Assignee: DeepMind Technologies Limited
- Current Assignee: DeepMind Technologies Limited
- Current Assignee Address: GB London
- Main IPC: G06N3/047
- IPC: G06N3/047 ; G06F16/901 ; G06F17/18 ; G06N3/08 ; G06N3/045

Abstract:
There is described a neural network system for generating a graph, the graph comprising a set of nodes and edges. The system comprises one or more neural networks configured to represent a probability distribution over sequences of node generating decisions and/or edge generating decisions, and one or more computers configured to sample the probability distribution represented by the one or more neural networks to generate a graph.
Public/Granted literature
- US12131248B2 Graph neural network systems for generating structured representations of objects Public/Granted day:2024-10-29
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