We propose a novel approach, ArchiDroid, to automatically augment the ATG via graph convolution network. It models both the semantics of activities and the ...

To tackle this challenge, we propose a novel approach, ArchiDroid, to automatically augment the ATG via graph convolution network. It models both the se-.

Jul 26, 2023 · To tackle this challenge, we propose a novel approach, ArchiDroid, to automatically augment the ATG via graph convolution network. It models ...

To tackle this challenge, we propose a novel approach, ArchiDroid, to automatically augment the ATG via graph convolution network. It models both the semantics ...

These metrics, indicative of high-order similarities, can be efficiently calculated with infinite graph convolutional networks layers under a multi-objective ...

Author of Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network within the Technical Track-track. 2020. ASE. Author of ...

Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network; Fill in the Blank: Context-aware Automated Text Input ...

Apr 25, 2024 · Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network. ICSE 2023: 1983-1995; 2022. [j1]. view.

... Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network, ICSE 2023. Zhiyuan Chang, Mingyang Li, Qing Wang, Shoubin Li ...

[ICSE 2023] Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network IEEE/ACM 45th International Conference on Software ...