Jinjing Zhou

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinjing Zhou trusts

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

  1. Jure Leskovec (in Graph Learning)

Papers from Jinjing Zhou's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. The Graph Neural Network Model
  3. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  4. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  5. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  6. Graph Attention Networks (International Conference on Learning Representations)
  7. Relational inductive biases, deep learning, and graph networks
  8. DeepWalk: online learning of social representations
  9. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers