Giorgos Bouritsas

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #34,828 of 35,345 by trust here, #25,809 by citations
• Graph Learning — 32 citations into it
• Molecular Biology — 20 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Statistical and Nonlinear Physics — 18 citations into it; #10,020 of 10,127 by trust here, #6,421 by citations
• Computational Theory and Mathematics — 14 citations into it

Whom Giorgos Bouritsas trusts overall

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

1. Sebastian Wernicke
2. Andreas Loukas
3. Nino Shervashidze
4. Thomas Kipf
5. Natasa Przulj
6. Max Welling
7. Yoshua Bengio
8. Geoffrey E. Hinton
9. Nils M. Kriege
10. Fabrizio Costa

Who trusts Giorgos Bouritsas overall

1. Vijay Prakash Dwivedi
2. Cristian Bodnar
3. Ladislav Rampášek
4. Yingmin Wu
5. Anh Tuan Luu
6. Fabrizio Frasca
7. Mikhail Galkin
8. Xiang Wang

Papers from Giorgos Bouritsas's perspective

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

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

Their papers

• Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting (2020) — 547 citations