Susie Xi Rao

According to our database, Susie Xi Rao authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unveiling Real-World Networks: Exploring Natural Language Models and Graph Neural Networks for Pattern Mining.

Susie Xi Rao

PhD thesis, 2023

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks.

Qiang Huang, Jiawei Jiang, Susie Xi Rao, Ce Zhang, Zhichao Han, Zitao Zhang, Xin Wang, Yongjun He, Quanqing Xu, Yang Zhao, Chuang Hu, Shuo Shang, Bo Du

CoRR, 2023

Building Floorspace in China: A Dataset and Learning Pipeline.

Peter H. Egger, Susie Xi Rao, Sebastiano Papini

CoRR, 2023

SAINE: Scientific Annotation and Inference Engine of Scientific Research.

Susie Xi Rao, Yilei Tu, Peter H. Egger

CoRR, 2023

Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning.

Susie Xi Rao, Peter H. Egger, Ce Zhang

CoRR, 2023

2022

Modelling graph dynamics in fraud detection with "Attention".

Susie Xi Rao, Clémence Lanfranchi, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang

CoRR, 2022

Keyword Extraction in Scientific Documents.

Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Sandra Mitrovic, Emmanuel de Salis, Michael Wechner, Vanya Brucker, Peter H. Egger, Ce Zhang

Proceedings of the Swiss Text Analytics Conference 2022, Lugano, 2022

Neural Methods for Logical Reasoning over Knowledge Graphs.

Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

BRIGHT - Graph Neural Networks in Real-time Fraud Detection.

Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets.

Susie Xi Rao, Johannes Rausch, Peter H. Egger, Ce Zhang

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021

xFraud: Explainable Fraud Transaction Detection.

Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang

Proc. VLDB Endow., 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.

Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Ease.ML: A Lifecycle Management System for Machine Learning.

Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks.

Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang

CoRR, 2020

xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs.

Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang

CoRR, 2020