NIPS Proceedingsβ

Jure Leskovec

12 Papers

  • G2SAT: Learning to Generate SAT Formulas (2019)
  • GNNExplainer: Generating Explanations for Graph Neural Networks (2019)
  • Hyperbolic Graph Convolutional Neural Networks (2019)
  • Dynamic Network Model from Partial Observations (2018)
  • Embedding Logical Queries on Knowledge Graphs (2018)
  • Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation (2018)
  • Hierarchical Graph Representation Learning with Differentiable Pooling (2018)
  • Inductive Representation Learning on Large Graphs (2017)
  • Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making (2016)
  • Nonparametric Multi-group Membership Model for Dynamic Networks (2013)
  • Learning to Discover Social Circles in Ego Networks (2012)
  • On the Convexity of Latent Social Network Inference (2010)