213 citations · 357 across the 13 of their papers we have counts for
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cs.LG2019★ 10 cited
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
Saurabh Verma, Zhi-Li Zhang
Learning powerful data embeddings has become a center piece in machine learning, especially in natural language processing and computer vision domains. The crux of these embeddings…
cs.LG2019
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series
Saurabh Agrawal, Saurabh Verma, Anuj Karpatne +3
Traditional approaches focus on finding relationships between two entire time series, however, many interesting relationships exist in small sub-intervals of time and remain feeble…
cs.LG2019★ 12 cited
Stability and Generalization of Graph Convolutional Neural Networks
Saurabh Verma, Zhi-Li Zhang
Inspired by convolutional neural networks on 1D and 2D data, graph convolutional neural networks (GCNNs) have been developed for various learning tasks on graph data, and have show…