Konstantin Kutzkov

Graph Learning · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 110 researchers here, as inferred from the citation graph.

Subfields

• Graph Learning — 24 citations into it; #63 of 693 by trust here, #91 by citations
• Artificial Intelligence — 13 citations into it; #2,645 of 35,345 by trust here, #3,783 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #3,214 of 21,575 by trust here, #2,872 by citations
• Computational Theory and Mathematics — 8 citations into it

Whom Konstantin Kutzkov trusts overall

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

1. Yann LeCun
2. Chih-Jen Lin
3. Karsten M. Borgwardt
4. Kristian Kersting
5. Eugene M. Luks
6. B. Douglas
7. Nino Shervashidze
8. Brendan D. McKay

Who trusts Konstantin Kutzkov overall

1. Aleksandar Bojchevski
2. Muhan Zhang
3. Saurabh Verma
4. Hongyang Gao
5. Christopher Morris
6. Thomas Kipf
7. Vincent Wenchen Zheng
8. Aynaz Taheri
9. Stephan Günnemann
10. Haopeng Zhang

Papers from Konstantin Kutzkov's perspective

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

1. Gradient-based learning applied to document recognition
2. Backpropagation Applied to Handwritten Zip Code Recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. LIBSVM: A library for support vector machines
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. The Graph Neural Network Model
9. Long Short-Term Memory
10. Gated Graph Sequence Neural Networks

Their papers

• Learning Convolutional Neural Networks for Graphs (2016) — 2,290 citations