4 papers
Modelling Universal Order Book Dynamics in Bitcoin Market
Fabin Shi, Nathan Aden, Shengda Huang +7
Understanding the emergence of universal features such as the stylized facts in markets is a long-standing challenge that has drawn much attention from economists and physicists. M…
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Bingbing Xu, Junjie Huang, Liang Hou +3
Graph neural networks (GNNs) achieve remarkable success in graph-based semi-supervised node classification, leveraging the information from neighboring nodes to improve the represe…
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao, Huawei Shen, Jinhua Gao +2
Predicting the popularity of online content on social platforms is an important task for both researchers and practitioners. Previous methods mainly leverage demographics, temporal…
ANAE: Learning Node Context Representation for Attributed Network Embedding
Keting Cen, Huawei Shen, Jinhua Gao +3
Attributed network embedding aims to learn low-dimensional node representations from both network structure and node attributes. Existing methods can be categorized into two groups…