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06/28/2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
Out-of-distribution (OOD) graph generalization are critical for many rea...
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06/21/2022
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP
This paper focuses on text data augmentation for few-shot NLP tasks. The...
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05/19/2022
Spatial Autoregressive Coding for Graph Neural Recommendation
Graph embedding methods including traditional shallow models and deep Gr...
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11/25/2020