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cs.DC2026
GPU-Accelerated Multilevel Graph Clustering: A Parallel Perspective on Louvain and Leiden
Michael S. Gilbert, Kamesh Madduri
The sequential Louvain and Leiden algorithms are widely used techniques for modularity-optimizing clustering (or community detection) in large graphs. We present pLouvain and pLeid…
cs.DC2026
Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs
Jun-Liang Lin, Kamesh Madduri, Mahmut Taylan Kandemir
Graph foundation models have demonstrated remarkable adaptability across diverse downstream tasks through large-scale pretraining on graphs. However, existing implementations of th…