Abstract: Molecular property prediction plays a fundamental role in AI-aided drug discovery to identify candidate molecules, which is also essentially a few-shot problem due to lack of labeled data.

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Some stories, though, were more impactful or popular with our readers than others. This article explores 15 of the biggest ...

Our paper "Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation" AAAI 2025. The initial dataset(oidv6/v4-train/test/validation-annotations ...

Graph-level clustering is a fundamental task of data mining, aiming at dividing unlabeled graphs into distinct groups. However, existing deep methods that are limited by pooling have difficulty ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...