With the rapid development of 5G technology, D2D communications will be widely used in
content distribution scenarios. An important prerequisite for realizing data transmission in …

Heterogeneous Information Network (HIN) collecitve classification studies the problem of
predicting labels for one type of nodes in a HIN which contains multiple types of nodes …

The real-world networking data may contain different types of attribute views and relational
view. Hence, it is desirable to collectively use available attribute views and relational view in …

Multi-attribute network refers to network data with multiple attribute views and relational
view. Although semi-supervised collective classification has been investigated extensively …

In this paper, we study relations ranking and object classification for multi-relational data
where objects are interconnected by multiple relations. The relations among objects should …

Heterogeneous network entity classification is to predict the labels of entities in a
heterogeneous network which consists of multiple types of relations and multiple types of …

Due to the growth of numerous applications of network mining, node classification has
become an important task on various domains like social networks, biological networks and …

During this work, we tend to have an interest to tackle the problem of link prediction in
complicated net-works. Especially, we tend to explore topological two approaches for link …

The level of liquidity is a very important factor concerning the smooth operation of the futures
market. The paper has taken M 2, the broad money supply, as the index of the level of …