Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs

1 code implementation • 6 Apr 2022 • Shaoxian Xu, Zhiyuan Shao, Ci Yang, Xiaofei Liao, Hai Jin

In this paper, we first point out that in a GCN training problem with a given training set, the aggregation stages of its backward propagation phase (called as backward aggregations in this paper) can be converted to partially-active graph processing procedures, which conduct computation on only partial vertices of the input graph.

Cross-Language Binary-Source Code Matching with Intermediate Representations

1 code implementation • 19 Jan 2022 • Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin

Binary-source code matching plays an important role in many security and software engineering related tasks such as malware detection, reverse engineering and vulnerability assessment.

Malware Detection