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• PAFit: an R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks
  2017
• A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks
  2018
• On representation power of neural network-based graph embedding and beyond
  2018
• Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
  2018
• Robust Graph Embedding with Noisy Link Weights
  2019
• Joint Estimation of the Non-parametric Transitivity and Preferential Attachment Functions in Scientific Co-authorship Networks
  2019
• Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization
  2020
• Nonparametric estimation of the preferential attachment function from one network snapshot
  2021