DPDGAD: A Dual-Process Dynamic Graph-based Anomaly Detection for multivariate time series analysis in cyber-physical systems

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

Dagstuhl Research Online Publication Server · 2025 · 16.2K citations · Full text

Computing, Computer Science, Feature Engineering +16

Graph Attention Networks

Guillem Cucurull, Arantxa Casanova, Adriana Romero et al. · arXiv (Cornell University) · 2017 · 8.3K citations · Full text

Computing, Computer Science, Feature Engineering +16

Are Transformers Effective for Time Series Forecasting?

Ailing Zeng, Muxi Chen, Lei Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 2.6K citations · Full text

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Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

Ailin Deng, Bryan Hooi · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 1.1K citations · Full text

Computing, Computer Science, Data Science +17

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction

Jiawei Jiang, Chengkai Han, Wayne Xin Zhao et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 498 citations · Full text

Engineering, Computer Science, Machine Learning +16