46 citations · 68 across the 6 of their papers we have counts for
6 papers
Deoscillated Graph Collaborative Filtering
Zhiwei Liu, Lin Meng, Fei Jiang +2
Collaborative Filtering (CF) signals are crucial for a Recommender System~(RS) model to learn user and item embeddings. High-order information can alleviate the cold-start issue of…
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
Yuxiang Ren, Lin Meng, Jiawei Zhang
Social network alignment has been an important research problem for social network analysis in recent years. With the identified shared users across networks, it will provide resea…
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
Jiawei Zhang, Lin Meng
The existing graph neural networks (GNNs) based on the spectral graph convolutional operator have been criticized for its performance degradation, which is especially common for th…
Graph Neural Lasso for Dynamic Network Regression
Yixin Chen, Lin Meng, Jiawei Zhang
The regression of multiple inter-connected sequence data is a problem in various disciplines. Formally, we name the regression problem of multiple inter-connected data entities as…
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
Lin Meng, Jiawei Zhang
Deep learning models have achieved huge success in numerous fields, such as computer vision and natural language processing. However, unlike such fields, it is hard to apply tradit…
LATTE: Application Oriented Social Network Embedding
Lin Meng, Jiyang Bai, Jiawei Zhang
In recent years, many research works propose to embed the network structured data into a low-dimensional feature space, where each node is represented as a feature vector. However,…