Rohit Bhanushali

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #34,268 of 35,345 by trust here, #27,551 by citations
• Graph Learning — 7 citations into it

Whom Rohit Bhanushali trusts overall

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

1. Diederik P. Kingma
2. Thomas Kipf
3. Jundong Li

Who trusts Rohit Bhanushali overall

1. Yixin Liu

Papers from Rohit Bhanushali's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Relational inductive biases, deep learning, and graph networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
8. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Anomaly Detection on Attributed Networks (2019) — 630 citations