Barik, Reet, Minutoli, Marco, Halappanavar, Mahantesh, and Kalyanaraman, Ananth. IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. Retrieved from https://par.nsf.gov/biblio/10414300. Proceedings of the International Conference on High Performance Computing, Data, and Analytics (HiPC) . Web. doi:10.1109/HiPC56025.2022.00028.

Barik, Reet, Minutoli, Marco, Halappanavar, Mahantesh, & Kalyanaraman, Ananth. IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. Proceedings of the International Conference on High Performance Computing, Data, and Analytics (HiPC), (). Retrieved from https://par.nsf.gov/biblio/10414300. https://doi.org/10.1109/HiPC56025.2022.00028

Barik, Reet, Minutoli, Marco, Halappanavar, Mahantesh, and Kalyanaraman, Ananth. "IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization". Proceedings of the International Conference on High Performance Computing, Data, and Analytics (HiPC) (). Country unknown/Code not available. https://doi.org/10.1109/HiPC56025.2022.00028. https://par.nsf.gov/biblio/10414300.

@article{osti_10414300,
place = {Country unknown/Code not available}, title = {IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization}, url = {https://par.nsf.gov/biblio/10414300}, DOI = {10.1109/HiPC56025.2022.00028}, abstractNote = {}, journal = {Proceedings of the International Conference on High Performance Computing, Data, and Analytics (HiPC)}, author = {Barik, Reet and Minutoli, Marco and Halappanavar, Mahantesh and Kalyanaraman, Ananth}, }