9 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 3 cited
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning
Chih-Yao Chen, Cheng-Te Li
While relation extraction is an essential task in knowledge acquisition and representation, and new-generated relations are common in the real world, less effort is made to predict…
cs.LG2021
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
Yi-Ju Lu, Cheng-Te Li
Forecasting spatio-temporal correlated time series of sensor values is crucial in urban applications, such as air pollution alert, biking resource management, and intelligent trans…
cs.IR2021★ 9 cited
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
Cheng Hsu, Cheng-Te Li
Sequential recommendation (SR) is to accurately recommend a list of items for a user based on her current accessed ones. While new-coming users continuously arrive in the real worl…