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Found 7 papers, 2 papers with code
A Fast Maximum Clique Algorithm Based on Network Decomposition for Large Sparse Networks
A bunch of effective techniques is being used to greatly prune the graph and a novel concept called Complete-Upper-Bound-Induced Subgraph (CUBIS) is proposed to ensure that the structures with the potential to form the maximum clique are retained in the process of graph decomposition.
Limits of PageRank-based ranking methods in sports data
We propose a new PageRank variant which outperforms PageRank in all evaluated settings, yet shares its sensitivity to increased randomness in the data.
Computational Socioeconomics
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development.
Bicycle Detection Based On Multi-feature and Multi-frame Fusion in low-resolution traffic videos
So bicycle detection is one major task of traffic video surveillance systems in China.
Predicting missing links via correlation between nodes
As a fundamental problem in many different fields, link prediction aims to estimate the likelihood of an existing link between two nodes based on the observed information.
Recommender Systems
In this article, we review recent developments in recommender systems and discuss the major challenges.
Predicting Missing Links via Local Information
Missing link prediction of networks is of both theoretical interest and practical significance in modern science.
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Link Property Prediction
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Data Analysis, Statistics and Probability Physics and Society
