Graph neural networks (GNNs) have shown remarkable performance on diverse graph mining tasks. While sharing the same message passing framework, our study shows that different GNNs learn distinct knowledge from graph. This implies potential improvement by distilling complementary multiple models. However, distillation (KD) transfers high-capacity teachers to a lightweight student, which deviates...

Few-shot learning aims to learn a classifier using few labelled instances for each class. Metric-learning approaches few-shot embed into high-dimensional space and conduct classification based on distances among instance embeddings. However, such embeddings are usually shared across all episodes thus lack the discriminative power generalize classifiers according episode-specific features. In th...

Although CO2 injection is one of the most common methods in enhanced oil recovery, it could alter fluid properties of oil and cause some problems such as asphaltene precipitation. The maximum amount of asphaltene precipitation occurs near the fluid pressure and concentration saturation. According to the description of asphaltene deposition onset, the bubble point pressure has a very special imp...