从应用角度来看，这一成果最重大意义在于，研究团队证明在链路预测任务上，效率和性能在某种程度上是可以兼得的。经过他们优化之后的 GAE 模型，相较以前的一些模型，有着几十倍甚至上百倍的效率提升，这会为图神经网络链路预测模型的规模化扫清重要阻碍。

In the last decade, auxiliary information has been widely used to address data sparsity. Due to the advantages of feature extraction and the no-label requirement, autoencoder-based methods addressing ...

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

The key challenge in credit card fraud detection lies in the imbalance between legitimate and fraudulent transactions. Fraud cases typically represent less than 1 percent of total transactions, ...

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

Chiranjeevi Devi's research focuses on building reliable data systems through anomaly detection, DevSecOps automation, and policy-as-code for compliance.

In the new wave of digital transformation, Guangxi Power Grid Co., Ltd. has recently applied for a patent titled "An Intelligent Generation Method and System for API Data Stream Security Labels," with ...

Changan Automobile Applies for Driving Style Recognition Patent, Leading a New Trend in Intelligent Driving ...