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- Zhejiang UniversityCN37 papers
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- Alibaba Group (United States)US16 papers
- Shanghai Jiao Tong UniversityCN16 papers
- University of Science and Technology of ChinaCN15 papers
- Chinese Academy of SciencesCN12 papers
- Nanyang Technological UniversitySG10 papers
- University of Chinese Academy of SciencesCN8 papers
- CAS Key Laboratory of Urban Pollutant ConversionCN7 papers
- Huazhong University of Science and TechnologyCN7 papers
- Singapore Management UniversitySG7 papers
9 papers · 1 filter
DMCS : Density Modularity based Community Search
Junghoon Kim, Siqiang Luo, Gao Cong +1
Community Search, or finding a connected subgraph (known as a community) containing the given query nodes in a social network, is a fundamental problem. Most of the existing commun…
How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode
Xuanwen Huang, Yang Yang, Ziqiang Cheng +5
A taocode is a kind of specially coded text-link on Taobao(the world's biggest online shopping website), through which users can share messages about products with each other. Anal…
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
Tong Chen, Hongzhi Yin, Jie Ren +3
With the ubiquitous graph-structured data in various applications, models that can learn compact but expressive vector representations of nodes have become highly desirable. Recent…
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
Ziyue Qiao, Pengyang Wang, Yanjie Fu +3
While Graph Neural Network (GNN) has shown superiority in learning node representations of homogeneous graphs, leveraging GNN on heterogeneous graphs remains a challenging problem.…
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
Liyi Guo, Rui Lu, Haoqi Zhang +9
For e-commerce platforms such as Taobao and Amazon, advertisers play an important role in the entire digital ecosystem: their behaviors explicitly influence users' browsing and sho…
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction
Chunyuan Yuan, Jiacheng Li, Wei Zhou +3
Information diffusion prediction is a fundamental task for understanding the information propagation process. It has wide applications in such as misinformation spreading predictio…