research
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05/04/2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
Training and inference with graph neural networks (GNNs) on massive grap...
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10/16/2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
Improving the training and inference performance of graph neural network...
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10/27/2019
Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs
Software engineers designing recursive fork-join programs destined to ru...
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02/26/2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Graph representation learning resurges as a trending research subject ow...
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11/30/2018