Aamir Hussain

Graph Learning · 2023

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 — 25 citations into it
• Molecular Biology — 8 citations into it

Whom Aamir Hussain trusts

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

1. Jure Leskovec (in Graph Learning)

Papers from Aamir Hussain's perspective

Ordered by how strongly the researchers Aamir Hussain 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. Spectral Networks and Locally Connected Networks on Graphs
3. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
4. Graph Attention Networks (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. DeepWalk: online learning of social representations
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence (2023) — 402 citations