Social network based applications have experienced exponential growth in recent years. One of the reasons for this rise is that this application domain offers a particularly fertile …
Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and …
With the boom in technologies and mobile networks in recent years, online social networks have become an integral part of our daily lives. These virtual networks connect people …
The wide availability of user-provided content in online social media facilitates the aggregation of people around common interests, worldviews, and narratives. However, the …
Networks are a fundamental tool for modeling complex systems in a variety of domains including social and communication networks as well as biology and neuroscience. The …
Networks provide a powerful formalism for modeling complex systems by using a model of pairwise interactions. But much of the structure within these systems involves interactions …
To provide accurate and explainable misinformation detection, it is often useful to take an auxiliary source (eg, social context and knowledge base) into consideration. Existing …
Weighted signed networks (WSNs) are networks in which edges are labeled with positive and negative weights. WSNs can capture like/dislike, trust/distrust, and other social …
T Derr, Y Ma, J Tang - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
Due to the fact much of today's data can be represented as graphs, there has been a demand for generalizing neural network models for graph data. One recent direction that …