60 citations · 71 across the 5 of their papers we have counts for
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cs.SI2020
Learning Node Representations from Noisy Graph Structures
Junshan Wang, Ziyao Li, Qingqing Long +3
Learning low-dimensional representations on graphs has proved to be effective in various downstream tasks. However, noises prevail in real-world networks, which compromise networks…
cs.SI2019
Tag2Vec: Learning Tag Representations in Tag Networks
Junshan Wang, Zhicong Lu, Guojie Song +3
Network embedding is a method to learn low-dimensional representation vectors for nodes in complex networks. In real networks, nodes may have multiple tags but existing methods ign…
cs.SI2018
Using Social Network Information in Bayesian Truth Discovery
Jielong Yang, Junshan Wang, Wee Peng Tay
We investigate the problem of truth discovery based on opinions from multiple agents who may be unreliable or biased. We consider the case where agents' reliabilities or biases are…