Pinar Yanardag

Graph Learning · with Vishwanathan · 2015

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Graph Learning — 11 citations into it; #112 of 693 by trust here, #215 by citations
• Artificial Intelligence — 7 citations into it; #4,150 of 35,345 by trust here, #8,210 by citations
• Molecular Biology — 5 citations into it
• Natural Language Processing — 5 citations into it

Whom Pinar Yanardag trusts overall

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

1. Karsten M. Borgwardt
2. Nino Shervashidze
3. Chih-Jen Lin
4. Thomas Gärtner
5. Alex Smola
6. Tomas Mikolov
7. Omer Levy
8. Anshumali Shrivastava
9. J. Ramon
10. Fabrizio Costa

Who trusts Pinar Yanardag overall

1. Christopher Morris
2. Haifeng Jin
3. Saurabh Verma
4. Yunsheng Bai
5. Boris Knyazev
6. Aynaz Taheri
7. Haggai Maron
8. Annamalai Narayanan
9. Qingquan Song
10. Nils M. Kriege

Papers from Pinar Yanardag's perspective

Ordered by how strongly the researchers Pinar Yanardag 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Deep Graph Kernels (2015) — 1,512 citations