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BioCaster in 2021: Automatic Disease Outbreaks Detection from Global News Media
BioCaster was launched in 2008 to provide an ontology-based text mining system for early disease detection from open news sources. …
Zaiqiao Meng, Anya Okhmatovskaia, Maxime Polleri, Yannan Shen, Guido Powell, Zihao Fu, Iris Ganser, Meiru Zhang, Nicholas B King, David Buckeridge, Nigel Collier
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BioCaster in 2021: Automatic Disease Outbreaks Detection from Global News Media
Dynamic Co-Embedding Model for Temporal Attributed Networks
In this article, we study the problem of embedding temporal attributed networks, with the goal of which is to learn dynamic …
Shaowei Tang, Zaiqiao Meng, Shangsong Liang
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Graph neural pre-training for enhancing recommendations using side information
Leveraging the side information associated with entities (i.e. users and items) to enhance the performance of recommendation systems …
Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis
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Graph neural pre-training for enhancing recommendations using side information
Personalized, Sequential, Attentive, Metric-Aware Product Search
The task of personalized product search aims at retrieving a ranked list of products given a user’s input query and his/her purchase …
Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
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Profiling users for question answering communities via flow-based constrained co-embedding model
In this article, we study the task of user profiling in question answering communities (QACs). Previous user profiling algorithms …
Shangsong Liang, Yupeng Luo, Zaiqiao Meng
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A normalizing flow-based co-embedding model for attributed networks
Network embedding is a technique that aims at inferring the low-dimensional representations of nodes in a semantic space. In this …
Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng
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Competitive and complementary influence maximization in social network: A follower’s perspective
The problem of influence maximization is to select a small set of seed users in a social network to maximize the spread of influence. …
Huimin Huang, Zaiqiao Meng, Hong Shen
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Community-based influence maximization for viral marketing
Derived from the idea of word-to-mouth advertising and with applying information diffusion theory, viral marketing attracts wide …
Huimin Huang, Hong Shen, Zaiqiao Meng, Huajian Chang, Huaiwen He
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Recurrent neural variational model for follower-based influence maximization
Influence Maximization, aiming at selecting a small set of seed users in a social network to maximize the spread of influence, has …
Huimin Huang, Zaiqiao Meng, Shangsong Liang
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Dissimilarity-constrained node attribute coverage diversification for novelty-enhanced top-k search in large attributed networks
Query diversification as an effective way to reduce query ambiguity and enhance result novelty has received much attention in top-k …
Zaiqiao Meng, Hong Shen
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