research
∙
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 ...
share
research
∙
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...
research
∙
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...
research
∙
12/07/2021
CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks
Cascade prediction aims at modeling information diffusion in the network...
research
∙
05/18/2021
Independent Asymmetric Embedding Model for Cascade Prediction on Social Network
The prediction for information diffusion on social networks has great pr...
research
∙
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...
research
∙
07/27/2020
Measuring similarity in co-occurrence data using ego-networks
The co-occurrence association is widely observed in many empirical data....
research
∙
05/04/2013