Yuriy Tyshetskiy

Graph Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Graph Learning — 9 citations into it

Whom Yuriy Tyshetskiy trusts overall

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

1. Stephan Günnemann

Who trusts Yuriy Tyshetskiy overall

1. Marinka Zitnik

Papers from Yuriy Tyshetskiy's perspective

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

1. Explaining and Harnessing Adversarial Examples
2. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Spectral Networks and Locally Connected Networks on Graphs
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. The Limitations of Deep Learning in Adversarial Settings
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Adversarial Examples on Graph Data: Deep Insights into Attack and Defense (2019) — 514 citations