Recent deep learning approaches for representation learning on graphs follow a neighborhood
aggregation procedure. We analyze some important properties of these models, and …

The Nystrom method has long been popular for scaling up kernel methods. Its theoretical
guarantees and empirical performance rely critically on the quality of the landmarks selected. …

Biodegradable plastics would be gradually degraded by microbes after being used and
discarded, forming biodegradable microplastics (BMPs). It is however not clear if it, like …

Retrosynthetic planning is a critical task in organic chemistry which identifies a series of
reactions that can lead to the synthesis of a target product. The vast number of possible chemical …

The growth arrest special 5 (GAS5) is known to be involved in various cancers. However, its
expression regulation remains unclear. Polymorphisms in the promoter region of GAS5 may …

It is now much easier than ever before to produce videos. While the ubiquitous video data is
a great source for information discovery and extraction, the computational challenges are …

Illuminating interactions between proteins and small drug molecules is a long-standing
challenge in the field of drug discovery. Despite the importance of understanding these …

Proteolysis-targeting chimeras (PROTACs) have emerged as effective tools to selectively
degrade disease-related proteins by using the ubiquitin-proteasome system. Developing …

Retrosynthesis is one of the fundamental problems in organic chemistry. The task is to identify
reactants that can be used to synthesize a specified product molecule. Recently, computer-…

The complete biosynthetic pathways are unknown for most natural products (NPs), it is thus
valuable to make computer-aided bio-retrosynthesis predictions. Here, a navigable and user-…