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• Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
  2017
• NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
  2019
• GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
  2020
• Stable Prediction on Graphs with Agnostic Distribution Shift
  2021
• SketchNE: Embedding Billion-Scale Networks Accurately in One Hour
  2021
• Learning Large-scale Network Embedding from Representative Subgraph
  2021
• Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
  2022
• Towards Lightweight and Automated Representation Learning System for Networks
  2023