1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
Ling Yang, Jiayi Zheng, Heyuan Wang +5
Out-of-distribution (OOD) graph generalization are critical for many real-world applications. Existing methods neglect to discard spurious or noisy features of inputs, which are ir…
cs.IR2022★ 1 cited
Spatial Autoregressive Coding for Graph Neural Recommendation
Jiayi Zheng, Ling Yang, Heyuan Wang +4
Graph embedding methods including traditional shallow models and deep Graph Neural Networks (GNNs) have led to promising applications in recommendation. Nevertheless, shallow model…