Tim Kaler

Ordering heuristics for parallel graph coloring

William Hasenplaugh, Tim Kaler, Tao B. Schardl et al. · 2014 · 105 citations

Mathematical Programming, Serial Analogs, Engineering +15

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Aldo Pareja, Giacomo Domeniconi, Jie Chen et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 91 citations · Full text

Geometric Learning, Dynamic Graphs, Deep Neural Networks +15

Scalable Graph Learning for Anti-Money Laundering: A First Look

Mark Weber, Jie Chen, Toyotaro Suzumura et al. · arXiv (Cornell University) · 2018 · 72 citations · Full text

Engineering, Machine Learning, Network Analysis +18

Executing dynamic data-graph computations deterministically using chromatic scheduling

Tim Kaler, William Hasenplaugh, Tao B. Schardl et al. · 2014 · 36 citations

Cluster Computing, Network Theory (Electrical Engineering), Data-graph Computation +25

Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining

Tim Kaler, Nickolas Stathas, Anne Ouyang et al. · arXiv (Cornell University) · 2021 · 21 citations · Full text

Cluster Computing, Engineering, Machine Learning +20