Artificial intelligence (AI) is a field of computer science that involves acquiring information,
develo** rule bases, and mimicking human behaviour. The fundamental concept behind …

We present PyTorch Geometric Temporal, a deep learning framework combining state-of-the-
art machine learning algorithms for neural spatiotemporal signal processing. The main goal …

Nowadays, detecting fake news on social media platforms has become a top priority since
the widespread dissemination of fake news may mislead readers and have negative effects …

Recently, user cold-start recommendations have attracted a lot of attention from industry and
academia. In user cold-start recommendation systems, the user attribute information is often …

Machine learning has huge potential to revolutionize the field of drug discovery and is
attracting increasing attention in recent years. However, lacking domain knowledge (eg …

Graph neural networks (GNNs) process the graph-structured data using neural networks
and have proven successful in various graph processing tasks. Currently, graph pooling …

The boom of the technological area has given rise to numerous new applications that
actually rule the entire world. Some of them mainly are the social media networks like the …

By treating users' interactions as a user-item graph, graph learning models have been
widely deployed in Collaborative Filtering~(CF) based recommendation. Recently …

Recently, pre-trained foundation models have enabled significant advancements in multiple
fields. In molecular machine learning, however, where datasets are often hand-curated, and …

With the growing amount of multimodal data, cross-modal retrieval has attracted more and
more attention and become a hot research topic. To date, most of the existing techniques …