Mohamed Ahmed

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; #64 of 693 by trust here, #91 by citations
• Artificial Intelligence — 13 citations into it; #2,646 of 35,345 by trust here, #3,783 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #3,215 of 21,575 by trust here, #2,872 by citations
• Computational Theory and Mathematics — 8 citations into it

Whom Mohamed Ahmed 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
9. L. Eon Bottou
10. Yoshua Bengio

Who trusts Mohamed Ahmed overall

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

Papers from Mohamed Ahmed's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Backpropagation Applied to Handwritten Zip Code Recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. LIBSVM: A library for support vector machines

Their papers

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