System to analyze and enhance software based on graph attention networks
US11640295B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 26, 2020 |
| Grant date | May 2, 2023 |
| Priority date | — |
| Expiry date | Sep 14, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/092
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, apparatuses and methods may provide for technology that generates a dependence graph based on a plurality of intermediate representation (IR) code instructions associated with a compiled program code, generates a set of graph embedding vectors based on the plurality of IR code instructions, and determines, via a neural network, one of an analysis of the compiled program code or an enhancement of the program code based on the dependence graph and the set of graph embedding vectors. The technology may provide a graph attention neural network that includes a recurrent block and at least one task-specific neural network layer, the recurrent block including a graph attention layer and a transition function. The technology may also apply dynamic per-position recurrence-halting to determine a number of recurring steps for each position in the recurrent block based on adaptive computation time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.