Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure. - Alok Tripathy; Fred Hohman; Duen Horng Chau; Oded Green (IEEE BigData, 2018)

Logarithmic Radix Binning and Vectorized Triangle Counting. - Oded Green; James Fox; Alex Watkins; Alok Tripathy; Kasimir Gabert; Euna Kim; Xiaojing An; Kumar Aatish; David A. Bader (HPEC, 2018)

Scaling Betweenness Centrality in Dynamic Graphs. - Alok Tripathy; Oded Green (HPEC, 2018)

Improving Scheduling for Irregular Applications with Logarithmic Radix Binning. - James Fox; Alok Tripathy; Oded Green (HPEC, 2019)

Approximately and Efficiently Estimating Dynamic Point-to-Point Shortest Path. - Alok Tripathy; Oded Green (IEEE BigData, 2020)

Reducing communication in graph neural network training. - Alok Tripathy; Katherine A. Yelick; Aydin Buluç (SC, 2020)

Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication. - Oguz Selvitopi; Benjamin Brock; Israt Nisa; Alok Tripathy; Katherine A. Yelick; Aydin Buluç (ICS, 2021)

Scalable Hash Table for NUMA Systems. - Alok Tripathy; Oded Green (CoRR, 2021)

Sparsity-Aware Communication for Distributed Graph Neural Network Training. - Ujjaini Mukhopadhyay; Alok Tripathy; Oguz Selvitopi; Katherine A. Yelick; Aydin Buluç (ICPP, 2024)

Distributed Matrix-Based Sampling for Graph Neural Network Training. - Alok Tripathy; Katherine A. Yelick; Aydin Buluç (MLSys, 2024)

Scaling Graph Neural Networks for Particle Track Reconstruction. - Alok Tripathy; Alina Lazar; Xiangyang Ju; Paolo Calafiura; Katherine A. Yelick; Aydin Buluç (IPDPS (Workshops), 2025)

Essential-Web v1.0: 24T tokens of organized web data. - Andrew Hojel; Michael Pust; Tim Romanski; Yash Vanjani; Ritvik Kapila; Mohit Parmar; Adarsh Chaluvaraju; Alok Tripathy; Anil Thomas; Ashish Tanwer; Darsh J. Shah; Ishaan Shah; et al. (CoRR, 2025)