dynnode2vec: Scalable dynamic network embedding S Mahdavi, S Khoshraftar, A An 2018 IEEE International Conference on Big Data (Big Data), 3762-3765, 2018 | 143 | 2018 |
A survey on graph representation learning methods S Khoshraftar, A An ACM Transactions on Intelligent Systems and Technology 15 (1), 1-55, 2024 | 126 | 2024 |
High quality de novo sequencing and assembly of the Saccharomyces arboricolus genome G Liti, ANN Ba, M Blythe, CA Müller, A Bergström, FA Cubillos, ... BMC genomics 14, 1-14, 2013 | 103 | 2013 |
Sequencing and annotation of the Ophiostoma ulmigenome S Khoshraftar, S Hung, S Khan, Y Gong, V Tyagi, J Parkinson, M Sain, ... BMC genomics 14, 1-11, 2013 | 55 | 2013 |
Dynamic joint variational graph autoencoders S Mahdavi, S Khoshraftar, A An Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 27 | 2019 |
Dynamic Graph Embedding via LSTM History Tracking S Khoshraftar, S Mahdavi, A An, Y Hu, J Liu 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 21 | 2019 |
Seeds for effective oligonucleotide design L Ilie, S Ilie, S Khoshraftar, AM Bigvand BMC genomics 12, 1-9, 2011 | 12 | 2011 |
Centrality-based Interpretability Measures for Graph Embeddings S Khoshraftar, S Mahdavi, A An 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 9 | 2021 |
Temporal Graph Representation Learning via Maximal Cliques S Khoshraftar, A An, N Babanejad 2022 IEEE International Conference on Big Data (Big Data), 606-615, 2022 | 6 | 2022 |
The Dating of Undated Medieval Charters M Gervers, G Tilahun, S Khoshraftar, RA Mitchell Archives 53 (137), 1-33, 2018 | 4 | 2018 |
GraphiT: Efficient Node Classification on Text-Attributed Graphs with Prompt Optimized LLMs S Khoshraftar, N Abedini, A Hajian arXiv preprint arXiv:2502.10522, 2025 | | 2025 |
Learning Effective Embeddings for Dynamic Graphs and Quantifying Graph Embedding Interpretability S Khoshraftar | | 2023 |