Re-running a Vulnerability Detection Benchmark, More Carefully
I reproduced Devign (NeurIPS 2019) from scratch on the authors' own data. It lands 11 points below the paper, two-thirds of its test set leaks through shared commits, and a plain CNN beats it.
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MECP-GAP: Mobility-Aware MEC Planning via GNNs
A review and implementation of MECP-GAP, a graph-neural-network approach to partitioning 5G base stations into MEC service regions that minimizes handover cost under load-balancing constraints.
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