APA   Click to copy
Yik, J., Kuppannagari, S. R., Zeng, H., & Prasanna, V. K. (2022). Input feature pruning for accelerating GNN inference on heterogeneous platforms. In 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC) (pp. 282–291). IEEE.

Chicago/Turabian   Click to copy
Yik, Jason, Sanmukh R Kuppannagari, Hanqing Zeng, and Viktor K Prasanna. “Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms.” In 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC), 282–291. IEEE, 2022.

MLA   Click to copy
Yik, Jason, et al. “Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms.” 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC), IEEE, 2022, pp. 282–91.

@inproceedings{yik2022a,
  title = {Input feature pruning for accelerating GNN inference on heterogeneous platforms},
  year = {2022},
  organization = {IEEE},
  pages = {282--291},
  author = {Yik, Jason and Kuppannagari, Sanmukh R and Zeng, Hanqing and Prasanna, Viktor K},
  booktitle = {2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC)}
}