| Evolvegcn: Evolving graph convolutional networks for dynamic graphs A Pareja, G Domeniconi, J Chen, T Ma, T Suzumura, H Kanezashi, ... Proceedings of the AAAI conference on artificial intelligence 34 (04), 5363-5370, 2020 | 1250 | 2020 |
| Anti-money laundering in bitcoin: Experimenting with graph convolutional networks for financial forensics M Weber, G Domeniconi, J Chen, DKI Weidele, C Bellei, T Robinson, ... arXiv preprint arXiv:1908.02591, 2019 | 537 | 2019 |
| Codenet: A large-scale ai for code dataset for learning a diversity of coding tasks R Puri, DS Kung, G Janssen, W Zhang, G Domeniconi, V Zolotov, J Dolby, ... arXiv preprint arXiv:2105.12655, 2021 | 295 | 2021 |
| Exploring software naturalness through neural language models L Buratti, S Pujar, M Bornea, S McCarley, Y Zheng, G Rossiello, A Morari, ... arXiv preprint arXiv:2006.12641, 2020 | 110 | 2020 |
| A study on term weighting for text categorization: A novel supervised variant of tf. idf G Domeniconi, G Moro, R Pasolini, C Sartori International Conference on Data Management Technologies and Applications 2 …, 2015 | 64 | 2015 |
| A comparison of term weighting schemes for text classification and sentiment analysis with a supervised variant of tf. idf G Domeniconi, G Moro, R Pasolini, C Sartori Data Management Technologies and Applications: 4th International Conference …, 2016 | 60 | 2016 |
| Job recommendation from semantic similarity of LinkedIn users’ skills G Domeniconi, G Moro, A Pagliarani, K Pasini, R Pasolini International Conference on Pattern Recognition Applications and Methods 2 …, 2016 | 45 | 2016 |
| Anti-money laundering in bitcoin: Experimenting with graph convolutional networks for financial forensics. arXiv 2019 M Weber, G Domeniconi, J Chen, DKI Weidele, C Bellei, T Robinson, ... arXiv preprint arXiv:1908.02591, 1908 | 41 | 1908 |
| On deep learning in cross-domain sentiment classification G Domeniconi, G Moro, A Pagliarani, R Pasolini Proceedings of the 9th International Joint Conference on Knowledge Discovery …, 2017 | 35 | 2017 |
| Iterative refining of category profiles for nearest centroid cross-domain text classification G Domeniconi, G Moro, R Pasolini, C Sartori Knowledge Discovery, Knowledge Engineering and Knowledge Management: 6th …, 2015 | 32 | 2015 |
| GOTA: GO term annotation of biomedical literature PD Lena, G Domeniconi, L Margara, G Moro BMC bioinformatics 16, 1-13, 2015 | 31 | 2015 |
| Software vulnerability detection via deep learning over disaggregated code graph representation Y Zhuang, S Suneja, V Thost, G Domeniconi, A Morari, J Laredo arXiv preprint arXiv:2109.03341, 2021 | 30 | 2021 |
| Markov chain based method for in-domain and cross-domain sentiment classification G Domeniconi, G Moro, A Pagliarani, R Pasolini 2015 7th International Joint Conference on Knowledge Discovery, Knowledge …, 2015 | 29 | 2015 |
| Cross-organism learning method to discover new gene functionalities G Domeniconi, M Masseroli, G Moro, P Pinoli Computer methods and programs in biomedicine 126, 20-34, 2016 | 26 | 2016 |
| A novel method for unsupervised and supervised conversational message thread detection G Domeniconi, K Semertzidis, V Lopez, EM Daly, S Kotoulas, G Moro International Conference on Data Management Technologies and Applications 2 …, 2016 | 25 | 2016 |
| Cross-domain text classification through iterative refining of target categories representations G Domeniconi, G Moro, R Pasolini, C Sartori International Conference on Knowledge Discovery and Information Retrieval 2 …, 2014 | 23 | 2014 |
| Discovering new gene functionalities from random perturbations of known gene ontological annotations G Domeniconi, M Masseroli, G Moro, P Pinoli International Conference on Knowledge Discovery and Information Retrieval 2 …, 2014 | 22 | 2014 |
| Cush: Cognitive scheduler for heterogeneous high performance computing system G Domeniconi, EK Lee, V Venkataswamy, S Dola Proceedings of DRL4KDD 19, 2019 | 20 | 2019 |
| Evolving graph convolutional networks for dynamic graphs J Chen, A Pareja, G Domeniconi, T Ma, T Suzumura, T Kaler, TB Schardl, ... US Patent 11,537,852, 2022 | 18 | 2022 |
| Seign: A simple and efficient graph neural network for large dynamic graphs X Qin, N Sheikh, C Lei, B Reinwald, G Domeniconi 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2850-2863, 2023 | 14 | 2023 |