activity
20182026
most citedEA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

23 citations · 35 across the 5 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.LG2022

Node-oriented Spectral Filtering for Graph Neural Networks

Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu +2

Graph neural networks (GNNs) have shown remarkable performance on homophilic graph data while being far less impressive when handling non-homophilic graph data due to the inherent…

cs.LG2022★ 1 cited

HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction

Youru Li, Zhenfeng Zhu, Xiaobo Guo +3

Risk prediction, as a typical time series modeling problem, is usually achieved by learning trends in markers or historical behavior from sequence data, and has been widely applied…