Claire Donnat

Graph Learning · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Graph Learning — 18 citations into it
• Artificial Intelligence — 17 citations into it; #31,517 of 35,345 by trust here, #23,731 by citations
• Statistical and Nonlinear Physics — 9 citations into it; #8,787 of 10,127 by trust here, #5,625 by citations

Whom Claire Donnat trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Fan Chung
2. Miljenko Huzak
3. David I. Shuman
4. Andrew Rosenberg
5. Pierre Vandergheynst
6. M. Ovsjanikov
7. David K. Hammond
8. Mathieu Aubry
9. Leonardo F. R. Ribeiro
10. Keith W. Henderson

Who trusts Claire Donnat overall

1. Marinka Zitnik
2. Jianheng Tang
3. Bingbing Xu
4. Petar Velickovic
5. Fuli Feng
6. Jiezhong Qiu
7. William L. Hamilton
8. Jiajin Li
9. Huawei Shen

Papers from Claire Donnat's perspective

Ordered by how strongly the researchers Claire Donnat trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Structural Node Embeddings via Diffusion Wavelets (2017) — 444 citations
• Variability in the analysis of a single neuroimaging dataset by many teams (2019) — 901 citations