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09/18/2023
A performance characteristic curve for model evaluation: the application in information diffusion prediction
The information diffusion prediction on social networks aims to predict ...
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08/18/2023
Multi-feature concatenation and multi-classifier stacking: an interpretable and generalizable machine learning method for MDD discrimination with rsfMRI
Major depressive disorder is a serious and heterogeneous psychiatric dis...
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06/27/2023
Catch Me If You Can: A New Low-Rate DDoS Attack Strategy Disguised by Feint
While collaborative systems provide convenience to our lives, they also ...
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04/03/2023
An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner
The interpretability of model has become one of the obstacles to its wid...
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02/17/2023
Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank
Existing temporal community search suffers from two defects: (i) they ig...
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12/24/2022
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives
Name ambiguity is common in academic digital libraries, such as multiple...
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11/22/2022
Scalable and Effective Conductance-based Graph Clustering
Conductance-based graph clustering has been recognized as a fundamental ...
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11/12/2022
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling
Temporal networks are suitable for modeling complex evolving systems. It...
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09/16/2022
Multi-channel Nuclear Norm Minus Frobenius Norm Minimization for Color Image Denoising
Color image denoising is frequently encountered in various image process...
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06/30/2022
The maximum capability of a topological feature in link prediction
Link prediction aims to predict links of a network that are not directly...
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05/08/2022
Accelerated functional brain aging in major depressive disorder: evidence from a large scale fMRI analysis of Chinese participants
Major depressive disorder (MDD) is one of the most common mental health ...
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12/07/2021
CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks
Cascade prediction aims at modeling information diffusion in the network...
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10/12/2021
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling
Heterogeneous information network (HIN) embedding aims to find the repre...
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07/02/2021
Become a better you: correlation between the change of research direction and the change of scientific performance
It is important to explore how scientists decide their research agenda a...
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05/18/2021
Independent Asymmetric Embedding Model for Cascade Prediction on Social Network
The prediction for information diffusion on social networks has great pr...
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01/23/2021
A paper's corresponding affiliation and first affiliation are consistent at the country level in Web of Science
The purpose of this study is to explore the relationship between the fir...
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12/07/2020
From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information
The hyponym-hypernym relation is an essential element in the semantic ne...
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07/27/2020
Measuring similarity in co-occurrence data using ego-networks
The co-occurrence association is widely observed in many empirical data....
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02/29/2020
The dominance of big teams in China's scientific output
Modern science is dominated by scientific productions from teams. A rece...
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02/29/2020
China may need to support more small teams in scientific research
Modern science is dominated by scientific productions from teams. Large ...
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09/11/2017