| Fastgcn: fast learning with graph convolutional networks via importance sampling J Chen, T Ma, C Xiao ICLR 2018, 2018 | 1928 | 2018 |
| Evolvegcn: Evolving graph convolutional networks for dynamic graphs A Pareja, G Domeniconi, J Chen, T Ma, T Suzumura, H Kanezashi, ... AAAI 2020, 2020 | 1276 | 2020 |
| Pre-training of graph augmented transformers for medication recommendation J Shang, T Ma, C Xiao, J Sun IJCAI 2019, 2019 | 333 | 2019 |
| Gamenet: Graph augmented memory networks for recommending medication combination J Shang, C Xiao, T Ma, H Li, J Sun proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1126-1133, 2019 | 279 | 2019 |
| Constrained generation of semantically valid graphs via regularizing variational autoencoders T Ma, J Chen, C Xiao 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), 2018 | 278 | 2018 |
| Drug similarity integration through attentive multi-view graph auto-encoders T Ma, C Xiao, J Zhou, F Wang IJCAI'18: Proceedings of the 27th International Joint Conference on …, 2018 | 208 | 2018 |
| Learning crosslingual word embeddings without bilingual corpora L Duong, H Kanayama, T Ma, S Bird, T Cohn arXiv preprint arXiv:1606.09403, 2016 | 146 | 2016 |
| Pre-training BERT on domain resources for short answer grading C Sung, T Dhamecha, S Saha, T Ma, V Reddy, R Arora Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 143 | 2019 |
| Readmission prediction via deep contextual embedding of clinical concepts C Xiao, T Ma, AB Dieng, DM Blei, F Wang PloS one 13 (4), e0195024, 2018 | 140 | 2018 |
| Scalable graph learning for anti-money laundering: A first look M Weber, J Chen, T Suzumura, A Pareja, T Ma, H Kanezashi, T Kaler, ... arXiv preprint arXiv:1812.00076, 2018 | 139 | 2018 |
| Deep Graph Matching and Searching for Semantic Code Retrieval X Ling, L Wu, S Wang, G Pan, T Ma, F Xu, AX Liu, C Wu, S Ji The ACM Transactions on Knowledge Discovery from Data (TKDD), 2021 | 105 | 2021 |
| Opinion target extraction in Chinese news comments T Ma, X Wan Coling 2010: Posters, 782-790, 2010 | 96 | 2010 |
| Health-atm: A deep architecture for multifaceted patient health record representation and risk prediction T Ma, C Xiao, F Wang Proceedings of the 2018 SIAM International Conference on Data Mining, 261-269, 2018 | 94 | 2018 |
| Multilevel graph matching networks for deep graph similarity learning X Ling, L Wu, S Wang, T Ma, F Xu, AX Liu, C Wu, S Ji IEEE Transactions on Neural Networks and Learning Systems 34 (2), 799-813, 2021 | 93 | 2021 |
| MINA: multilevel knowledge-guided attention for modeling electrocardiography signals S Hong, C Xiao, T Ma, H Li, J Sun arXiv preprint arXiv:1905.11333, 2019 | 90 | 2019 |
| Curvature Graph Network Z Ye, KS Liu, T Ma, J Gao, C Chen ICLR 2020, 2020 | 80 | 2020 |
| A Study of the Attention Abnormality in Trojaned BERTs W Lyu, S Zheng, T Ma, C Chen NAACL 2022, 2022 | 77 | 2022 |
| DeepDrawing: A Deep Learning Approach to Graph Drawing Y Wang, Z Jin, Q Wang, W Cui, T Ma, H Qu IEEE transactions on visualization and computer graphics 26 (1), 676-686, 2019 | 74 | 2019 |
| Link prediction with persistent homology: An interactive view Z Yan, T Ma, L Gao, Z Tang, C Chen International conference on machine learning, 11659-11669, 2021 | 73 | 2021 |
| Multilingual training of crosslingual word embeddings L Duong, H Kanayama, T Ma, S Bird, T Cohn 15th Conference of the European Chapter of the Association for Computational …, 2017 | 57 | 2017 |
Cao (Danica) XiaoGE HealthcarePotvrđena adresa e-pošte na gehealthcare.com
