Kun Xie

AAAI Conference on Artificial Intelligence · 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.

Whom Kun Xie trusts

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

  1. A. Hinge (in Geometry and Topology)

Papers from Kun Xie's perspective

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

  1. Spectral Networks and Locally Connected Networks on Graphs
  2. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  3. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
  4. Learning Convolutional Neural Networks for Graphs
  5. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
  6. Deep Convolutional Networks on Graph-Structured Data
  7. Highway Networks
  8. Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
  9. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (AAAI Conference on Artificial Intelligence)
  10. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (Italian National Conference on Sensors)

Their papers