no code implementations • 23 Jun 2024 • Qiming Wu, Zichen Chen, Will Corcoran, Misha Sra, Ambuj K. Singh
To address this gap, we introduce GraphEval2000, the first comprehensive graph dataset, comprising 40 graph data structure problems along with 2000 test cases.
no code implementations • 12 Dec 2023 • Sean Jaffe, Ambuj K. Singh, Francesco Bullo
We also introduce a variant, IDKM with Jacobian-Free-Backpropagation (IDKM-JFB), for which the time complexity of the gradient calculation is independent of $t$ as well.
no code implementations • 19 Apr 2021 • Hongyuan You, Sikun Lin, Ambuj K. Singh
This not only leads to a cleaner way of applying network constraints but also provides a more scalable solution when network connectivity is sparse.
1 code implementation • 13 Nov 2020 • Omid Askarisichani, Elizabeth Y. Huang, Kekoa S. Sato, Noah E. Friedkin, Francesco Bullo, Ambuj K. Singh
Lastly, we propose a novel approach using deep neural networks on a pre-trained text embedding model for predicting the influence of individuals.
no code implementations • 31 May 2020 • Hongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh
Network regularization is an effective tool for incorporating structural prior knowledge to learn coherent models over networks, and has yielded provably accurate estimates in applications ranging from spatial economics to neuroimaging studies.
no code implementations • 2 Oct 2019 • Haraldur T. Hallgrimsson, Richika Sharan, Scott T. Grafton, Ambuj K. Singh
Our proposed method builds on a Bayesian estimate of heteroscedastic aleatoric uncertainty of a region of white matter by inpainting it from its context.
no code implementations • 14 Feb 2018 • Haraldur T. Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton, Ambuj K. Singh
Furthermore, we show that the orientation similarity within these regions generalizes to a subset of 47 pairs of non-twin siblings, and show that these siblings are on average as similar as dizygotic twins.
no code implementations • 19 Dec 2015 • Xuan Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu
Data mining practitioners are facing challenges from data with network structure.
no code implementations • 18 Nov 2015 • Bo Zong, Xusheng Xiao, Zhichun Li, Zhen-Yu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, Guofei Jiang
In this work, we investigate how to query temporal graphs and treat query formulation as a discriminative temporal graph pattern mining problem.