| Graph embedding techniques, applications, and performance: A survey P Goyal, E Ferrara Knowledge-Based Systems 151, 78-94, 2018 | 2234 | 2018 |
| dyngraph2vec: Capturing network dynamics using dynamic graph representation learning P Goyal, SR Chhetri, A Canedo Knowledge-Based Systems 187, 104816, 2020 | 510 | 2020 |
| Dyngem: Deep embedding method for dynamic graphs P Goyal, N Kamra, X He, Y Liu arXiv preprint arXiv:1805.11273, 2018 | 482 | 2018 |
| Darkembed: Exploit prediction with neural language models N Tavabi, P Goyal, M Almukaynizi, P Shakarian, K Lerman Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 109 | 2018 |
| Deep neural networks for optimal team composition A Sapienza, P Goyal, E Ferrara Frontiers in big Data 2, 14, 2019 | 65 | 2019 |
| “I’m fully who I am”: Towards centering transgender and non-binary voices to measure biases in open language generation A Ovalle, P Goyal, J Dhamala, Z Jaggers, KW Chang, A Galstyan, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 54 | 2023 |
| Flirt: Feedback loop in-context red teaming N Mehrabi, P Goyal, C Dupuy, Q Hu, S Ghosh, R Zemel, KW Chang, ... arXiv preprint arXiv:2308.04265, 2023 | 53 | 2023 |
| Dynamicgem: A library for dynamic graph embedding methods P Goyal, SR Chhetri, N Mehrabi, E Ferrara, A Canedo arXiv preprint arXiv:1811.10734, 2018 | 45 | 2018 |
| Discovering signals from web sources to predict cyber attacks P Goyal, KSM Hossain, A Deb, N Tavabi, N Bartley, A Abeliuk, E Ferrara, ... arXiv preprint arXiv:1806.03342, 2018 | 43 | 2018 |
| Capturing edge attributes via network embedding P Goyal, H Hosseinmardi, E Ferrara, A Galstyan IEEE Transactions on Computational Social Systems 5 (4), 907-917, 2018 | 38 | 2018 |
| Pykg2vec: A python library for knowledge graph embedding SY Yu, SR Chhetri, A Canedo, P Goyal, MA Al Faruque Journal of Machine Learning Research 22 (16), 1-6, 2021 | 37 | 2021 |
| GEM: A Python package for graph embedding methods P Goyal, E Ferrara The Journal of Open Source Software 3 (29), 2018 | 35 | 2018 |
| Recommending teammates with deep neural networks P Goyal, A Sapienza, E Ferrara Proceedings of the 29th on Hypertext and Social Media, 57-61, 2018 | 29 | 2018 |
| Capturing network dynamics using dynamic graph representation learning P Goyal, SR Chhetri, AM Canedo US Patent 11,562,186, 2023 | 19 | 2023 |
| Embedding networks with edge attributes P Goyal, H Hosseinmardi, E Ferrara, A Galstyan Proceedings of the 29th on Hypertext and Social Media, 38-42, 2018 | 18 | 2018 |
| Benchmarks for graph embedding evaluation P Goyal, D Huang, A Goswami, SR Chhetri, A Canedo, E Ferrara arXiv preprint arXiv:1908.06543, 2019 | 16 | 2019 |
| On the steerability of large language models toward data-driven personas J Li, N Mehrabi, C Peris, P Goyal, KW Chang, A Galstyan, R Zemel, ... arXiv preprint arXiv:2311.04978, 2023 | 15 | 2023 |
| Graph representation ensemble learning P Goyal, S Raja, D Huang, SR Chhetri, A Canedo, A Mondal, J Shree, ... 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020 | 13 | 2020 |
| Modeling evolution of topics in large-scale temporal text corpora E Momeni, S Karunasekera, P Goyal, K Lerman Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018 | 13 | 2018 |
| Cross-modal learning for multi-modal video categorization P Goyal, S Sahu, S Ghosh, C Lee arXiv preprint arXiv:2003.03501, 2020 | 12 | 2020 |
Emilio FerraraProfessor of Computer Science at the University of Southern CaliforniaПотвърден имейл адрес: usc.edu