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Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation


Sep 07, 2021
Yufan Zhuang, Sahil Suneja, Veronika Thost, Giacomo Domeniconi, Alessandro Morari, Jim Laredo

* Submitted June 2020 

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Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks


May 25, 2021
Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladmir Zolotov, Julian Dolby, Jie Chen, Mihir Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Ulrich Finkler

* 11 Pages including references, 10 pages of appendix 

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CASTELO: Clustered Atom Subtypes aidEd Lead Optimization -- a combined machine learning and molecular modeling method


Nov 27, 2020
Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, Seung-gu Kang, Ruhong Zhou, Guojing Cong


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Exploring Software Naturalness through Neural Language Models


Jun 24, 2020
Luca Buratti, Saurabh Pujar, Mihaela Bornea, Scott McCarley, Yunhui Zheng, Gaetano Rossiello, Alessandro Morari, Jim Laredo, Veronika Thost, Yufan Zhuang, Giacomo Domeniconi


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Exploring Software Naturalness throughNeural Language Models


Jun 22, 2020
Luca Buratti, Saurabh Pujar, Mihaela Bornea, Scott McCarley, Yunhui Zheng, Gaetano Rossiello, Alessandro Morari, Jim Laredo, Veronika Thost, Yufan Zhuang, Giacomo Domeniconi


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Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics


Jul 31, 2019
Mark Weber, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele, Claudio Bellei, Tom Robinson, Charles E. Leiserson

* 7 pages, Tutorial in the Anomaly Detection in Finance Workshop at the 25th SIGKDD Conference on Knowledge Discovery and Data Mining 

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EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs


Feb 26, 2019
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leisersen


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