no code implementations • 3 Dec 2023 • Yuhui Ding, Antonio Orvieto, Bobby He, Thomas Hofmann
Graph neural networks based on iterative one-hop message passing have been shown to struggle in harnessing the information from distant nodes effectively.
2 code implementations • 7 Oct 2020 • Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang
Specifically, we search for a meta graph, which can capture more complex semantic relations than a meta path, to determine how graph neural networks (GNNs) propagate messages along different types of edges.
1 code implementation • 24 May 2019 • Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu
By training on small-scale networks, the learned model is capable of assigning relative BC scores to nodes for any unseen networks, and thus identifying the highly-ranked nodes.