Can Wang

Artificial Intelligence · with Bai · 2020

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

Whom Can Wang trusts

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

  1. Max Welling (in Artificial Intelligence)
  2. Thomas Kipf (in Artificial Intelligence)

Papers from Can Wang's perspective

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

  1. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  2. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  3. Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
  4. Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting
  5. Hierarchical Graph Representation Learning with Differentiable Pooling
  6. A Recurrent Latent Variable Model for Sequential Data
  7. Graph WaveNet for Deep Spatial-Temporal Graph Modeling (International Joint Conference on Artificial Intelligence)
  8. Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (AAAI Conference on Artificial Intelligence)
  9. Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning (Knowledge Discovery and Data Mining)
  10. Freeway Performance Measurement System: Mining Loop Detector Data

Their papers