4 citations · 7 across the 6 of their papers we have counts for
6 papers
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast
Linpu Jiang, Ke-Jia Chen, Jingqiang Chen
Self-supervised learning on graphs has recently drawn a lot of attention due to its independence from labels and its robustness in representation. Current studies on this topic mai…
GIMIRec: Global Interaction Information Aware Multi-Interest Framework for Sequential Recommendation
Jie Zhang, Ke-Jia Chen, Jingqiang Chen
Sequential recommendation based on multi-interest framework models the user's recent interaction sequence into multiple different interest vectors, since a single low-dimensional v…
Pre-Training on Dynamic Graph Neural Networks
Ke-jia Chen, Jiajun Zhang, Linpu Jiang +2
The pre-training on the graph neural network model can learn the general features of large-scale networks or networks of the same type by self-supervised methods, which allows the…
Sequential online prediction in the presence of outliers and change points: an instant temporal structure learning approach
Bin Liu, Yu Qi, Ke-Jia Chen
In this paper, we consider sequential online prediction (SOP) for streaming data in the presence of outliers and change points. We propose an INstant TEmporal structure Learning (I…
iTrace: An Implicit Trust Inference Method for Trust-aware Collaborative Filtering
Xu He, Bin Liu, Ke-Jia Chen
The growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. A collaborative filtering (CF) algorithm recommends items…
Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection
Bin Liu, Ke-Jia Chen
This paper addresses maximum likelihood (ML) estimation based model fitting in the context of extrasolar planet detection. This problem is featured by the following properties: 1)…