5 citations · 9 across the 3 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
Graph Condensation via Receptive Field Distribution Matching
Mengyang Liu, Shanchuan Li, Xinshi Chen +1
Graph neural networks (GNNs) enable the analysis of graphs using deep learning, with promising results in capturing structured information in graphs. This paper focuses on creating…
cs.LG2021
Efficient Dynamic Graph Representation Learning at Scale
Xinshi Chen, Yan Zhu, Haowen Xu +4
Dynamic graphs with ordered sequences of events between nodes are prevalent in real-world industrial applications such as e-commerce and social platforms. However, representation l…