4 citations · 7 across the 6 of their papers we have counts for
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cs.LG2021★ 4 cited
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…
cs.IR2021
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…
cs.LG2021
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…