This study reveals how polypropylene carbonate in graphene inks enables low-temperature processing, expanding applications in flexible and printed electronics.

While HGNNs extend the foundational work of homogeneous Graph Neural Networks, the methodology for effectively transforming heterogeneous graphs into homogeneous graphs and then learning node ...

we've teamed up with the purple-drenched occultists for a deliciously devilish bundle – a copy of the album on vinyl with an exclusive numbered art print. These are strictly limited-edition and ...

In this paper, we propose a fusion-based GCL model (FB-GCL) that learns fused representations to effectively capture complementary information from both the graph structure and node attributes. Our ...