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20182023
most citedDeep Graph Representation Learning and Optimization for Influence Maximization

78 citations · 135 across the 16 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SI2023

Helper Recommendation with seniority control in Online Health Community

Junruo Gao, Chen Ling, Carl Yang +1

Online health communities (OHCs) are forums where patients with similar conditions communicate their experiences and provide moral support. Social support in OHCs plays a crucial r…

cs.CV2023★ 1 cited

Feature Attention Network (FA-Net): A Deep-Learning Based Approach for Underwater Single Image Enhancement

Muhammad Hamza, Ammar Hawbani, Sami Ul Rehman +2

Underwater image processing and analysis have been a hotspot of study in recent years, as more emphasis has been focused to underwater monitoring and usage of marine resources. Com…

cs.HC2023★ 2 cited

Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations

Tong Steven Sun, Yuyang Gao, Shubham Khaladkar +4

The local explanation provides heatmaps on images to explain how Convolutional Neural Networks (CNNs) derive their output. Due to its visual straightforwardness, the method has bee…

cs.LG2023★ 1 cited

Domain Generalization Deep Graph Transformation

Shiyu Wang, Guangji Bai, Qingyang Zhu +2

Graph transformation that predicts graph transition from one mode to another is an important and common problem. Despite much progress in developing advanced graph transformation t…

cs.SI2023★ 78 cited

Deep Graph Representation Learning and Optimization for Influence Maximization

Chen Ling, Junji Jiang, Junxiang Wang +5

Influence maximization (IM) is formulated as selecting a set of initial users from a social network to maximize the expected number of influenced users. Researchers have made great…