Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness

‏‏‎ ‎ 2020 Yongkun LiZhiyong WuShuai LinHong XieMin LvYinlong XuJohn C.S. Lui

Random walk is widely applied to sample large-scale graphs due to its simplicity of implementation and solid theoretical foundations of bias analysis. However, its computational efficiency is heavily limited by the slow convergence rate (a.k.a... (read more)


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