7 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 4 cited
Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation
Li Zhang, Yan Ge, Jun Ma +2
Cross-domain recommendation (CDR) can help customers find more satisfying items in different domains. Existing CDR models mainly use common users or mapping functions as bridges be…
cs.LG2020★ 4 cited
Hop-Hop Relation-aware Graph Neural Networks
Li Zhang, Yan Ge, Haiping Lu
Graph Neural Networks (GNNs) are widely used in graph representation learning. However, most GNN methods are designed for either homogeneous or heterogeneous graphs. In this paper,…
cs.LG2018★ 7 cited
Graph Node-Feature Convolution for Representation Learning
Li Zhang, Heda Song, Nikolaos Aletras +1
Graph convolutional network (GCN) is an emerging neural network approach. It learns new representation of a node by aggregating feature vectors of all neighbors in the aggregation…