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20242026
most citedGrad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection

8 citations · 9 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.LG2025★ 8 cited

Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection

Jie Yang, Rui Zhang, Ziyang Cheng +3

Nowadays, Graph Fraud Detection (GFD) in financial scenarios has become an urgent research topic to protect online payment security. However, as organized crime groups are becoming…

cs.CL2025

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback

Chunyu Miao, Henry Peng Zou, Yangning Li +28

Large language models (LLMs) show the promise in supporting scientific research implementation, yet their ability to generate correct and executable code remains limited. Existing…

cs.LG2025

Glocal Information Bottleneck for Time Series Imputation

Jie Yang, Kexin Zhang, Guibin Zhang +2

Time Series Imputation (TSI), which aims to recover missing values in temporal data, remains a fundamental challenge due to the complex and often high-rate missingness in real-worl…

cs.LG2025

Revisiting Multivariate Time Series Forecasting with Missing Values

Jie Yang, Yifan Hu, Kexin Zhang +3

Missing values are common in real-world time series, and multivariate time series forecasting with missing values (MTSF-M) has become a crucial area of research for ensuring reliab…

cs.LG2025

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting

Yifan Hu, Jie Yang, Tian Zhou +4

Although contrastive and other representation-learning methods have long been explored in vision and NLP, their adoption in modern time series forecasters remains limited. We belie…