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7 papers · 2 filters
OFFER: A Motif Dimensional Framework for Network Representation Learning
Shuo Yu, Feng Xia, Jin Xu +2
Aiming at better representing multivariate relationships, this paper investigates a motif dimensional framework for higher-order graph learning. The graph learning effectiveness ca…
Data-driven Computational Social Science: A Survey
Jun Zhang, Wei Wang, Feng Xia +2
Social science concerns issues on individuals, relationships, and the whole society. The complexity of research topics in social science makes it the amalgamation of multiple disci…
DINE: A Framework for Deep Incomplete Network Embedding
Ke Hou, Jiaying Liu, Yin Peng +3
Network representation learning (NRL) plays a vital role in a variety of tasks such as node classification and link prediction. It aims to learn low-dimensional vector representati…
Multivariate Relations Aggregation Learning in Social Networks
Jin Xu, Shuo Yu, Ke Sun +4
Multivariate relations are general in various types of networks, such as biological networks, social networks, transportation networks, and academic networks. Due to the principle…
Random Walks: A Review of Algorithms and Applications
Feng Xia, Jiaying Liu, Hansong Nie +3
A random walk is known as a random process which describes a path including a succession of random steps in the mathematical space. It has increasingly been popular in various disc…
Big Networks: A Survey
Hayat Dino Bedru, Shuo Yu, Xinru Xiao +4
A network is a typical expressive form of representing complex systems in terms of vertices and links, in which the pattern of interactions amongst components of the network is int…