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Relation Structure-Aware Heterogeneous Information Network Embedding
Yuanfu Lu, Chuan Shi, Linmei Hu +1
Heterogeneous information network (HIN) embedding aims to embed multiple types of nodes into a low-dimensional space. Although most existing HIN embedding methods consider heteroge…
COSINE: Compressive Network Embedding on Large-scale Information Networks
Zhengyan Zhang, Cheng Yang, Zhiyuan Liu +4
There is recently a surge in approaches that learn low-dimensional embeddings of nodes in networks. As there are many large-scale real-world networks, it's inefficient for existing…
Neural Diffusion Model for Microscopic Cascade Prediction
Cheng Yang, Maosong Sun, Haoran Liu +3
The prediction of information diffusion or cascade has attracted much attention over the last decade. Most cascade prediction works target on predicting cascade-level macroscopic p…
CED: Credible Early Detection of Social Media Rumors
Changhe Song, Cunchao Tu, Cheng Yang +2
Rumors spread dramatically fast through online social media services, and people are exploring methods to detect rumors automatically. Existing methods typically learn semantic rep…
A Unified Framework for Community Detection and Network Representation Learning
Cunchao Tu, Xiangkai Zeng, Hao Wang +5
Network representation learning (NRL) aims to learn low-dimensional vectors for vertices in a network. Most existing NRL methods focus on learning representations from local contex…
A Neural Network Approach to Joint Modeling Social Networks and Mobile Trajectories
Cheng Yang, Maosong Sun, Wayne Xin Zhao +2
The accelerated growth of mobile trajectories in location-based services brings valuable data resources to understand users' moving behaviors. Apart from recording the trajectory d…