Jayakrishnan Radhakrishna Pillai

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Graph Learning — 19 citations into it

Whom Jayakrishnan Radhakrishna Pillai trusts overall

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

1. Thomas Kipf

Papers from Jayakrishnan Radhakrishna Pillai's perspective

Ordered by how strongly the researchers Jayakrishnan Radhakrishna Pillai 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. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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. Gradient-based learning applied to document recognition
9. Graph Attention Networks (International Conference on Learning Representations)
10. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)

Their papers

• A Review of Graph Neural Networks and Their Applications in Power Systems (2021) — 373 citations