11 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.SI2022★ 11 cited
Dismantling Complex Networks by a Neural Model Trained from Tiny Networks
Jiazheng Zhang, Bang Wang
Can we employ one neural model to efficiently dismantle many complex yet unique networks? This article provides an affirmative answer. Diverse real-world systems can be abstracted…
cs.IR2022
Bayesian Negative Sampling for Recommendation
Bin Liu, Bang Wang
How to sample high quality negative instances from unlabeled data, i.e., negative sampling, is important for training implicit collaborative filtering and contrastive learning mode…
stat.ME2018★ 4 cited
Sampling-based Estimation of In-degree Distribution with Applications to Directed Complex Networks
Nelson Antunes, Shankar Bhamidi, Tianjian Guo +2
The focus of this work is on estimation of the in-degree distribution in directed networks from sampling network nodes or edges. A number of sampling schemes are considered, includ…