Israt Nisa

Amazon (United States) — United States

Computer Science · Physical Sciences

11h-index505citations24works3.02yr avg
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Research Topics

Advanced Graph Neural Networks(10), Parallel Computing and Optimization Techniques(9), Graph Theory and Algorithms(8), Tensor decomposition and applications(7), Recommender Systems and Techniques(4)

Publications24 total

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications
2024· 3 citedOpen Access
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures
2024· 3 cited
GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes
2023· 1 cited
Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU
2023· 3 cited
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures
arXiv (Cornell University)·2023· 1 citedOpen Access
Parallel Algorithms for Masked Sparse Matrix-Matrix Products
2022· 6 citedOpen Access
Nimble GNN Embedding with Tensor-Train Decomposition
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022· 14 citedOpen Access
Nimble GNN Embedding with Tensor-Train Decomposition
arXiv (Cornell University)·2022Open Access
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
arXiv (Cornell University)·2022· 11 citedOpen Access
Parallel algorithms for masked sparse matrix-matrix products
2022· 6 cited
Parallel Algorithms for Masked Sparse Matrix-Matrix Products
arXiv (Cornell University)·2021Open Access
Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication
2021· 18 citedOpen Access
Distributed-Memory k-mer Counting on GPUs
2021· 8 cited
An efficient mixed-mode representation of sparse tensors
2019· 44 cited
Load-Balanced Sparse MTTKRP on GPUs
2019· 50 cited
Load-Balanced Sparse MTTKRP on GPUs
arXiv (Cornell University)·2019· 3 citedOpen Access
Adaptive sparse tiling for sparse matrix multiplication
2019· 156 citedOpen Access
Sampled Dense Matrix Multiplication for High-Performance Machine Learning
2018· 29 cited
Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs
EasyChair preprint·2018· 10 citedOpen Access
Efficient sparse-matrix multi-vector product on GPUs
2018· 64 cited
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Frequent Co-authors

Aravind Sukumaran-Rajam(11), P. Sadayappan(11), Da Zheng(6), Aydın Buluç(5), George Karypis(5), Xiang Song(5), Richard Vuduc(4), Oğuz Selvitopi(4), Changwan Hong(3), Jiajia Li(3), Srđan Milaković(3), Zoran Budimlić(3), Bortik Bandyopadhyay(2), Süreyya Emre Kurt(2), Ümit V. Çatalyürek(2), Srinivasan Parthasarathy(2), Charles Siegel(2), Abhinav Vishnu(2), Rakshith Kunchum(2), Christos Faloutsos(2)