2 citations · 5 across the 4 of their papers we have counts for
8 papers
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
Linhao Luo, Yixiang Fang, Xin Cao +2
Community detection, aiming to group the graph nodes into clusters with dense inner-connection, is a fundamental graph mining task. Recently, it has been studied on the heterogeneo…
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning
Shiyi Chen, Ziao Wang, Xinni Zhang +2
Graph representation learning has long been an important yet challenging task for various real-world applications. However, their downstream tasks are mainly performed in the setti…
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
Linhao Luo, Liqi Yang, Ju Xin +6
Recently, the reciprocal recommendation, especially for online dating applications, has attracted more and more research attention. Different from conventional recommendation probl…
Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation
Yunpeng Ren, Ziao Wang, Yiyuan Wang +1
Automatically generating financial report from a piece of news is quite a challenging task. Apparently, the difficulty of this task lies in the lack of sufficient background knowle…
Automatically Generating Macro Research Reports from a Piece of News
Wenxin Hu, Xiaofeng Zhang, Gang Yang
Automatically generating macro research reports from economic news is an important yet challenging task. As we all know, it requires the macro analysts to write such reports within…
Structure Matters: Towards Generating Transferable Adversarial Images
Dan Peng, Zizhan Zheng, Linhao Luo +1
Recent works on adversarial examples for image classification focus on directly modifying pixels with minor perturbations. The small perturbation requirement is imposed to ensure t…