GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...

Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...

This research introduces quantum graph networks for max-clique detection, overcoming trainability issues with compositional ...

Graphs have long intrigued computer scientists for the elegant way they store connected information. But getting high ...

View the code and try it yourself. Whatever your opinion of using this project fractal art generator is, it is available here ...

A generation that has prioritized time-performance and cost-performance above all else is now walking the 42-kilometer ...

GPhase, a new haplotype-resolved scaffolding algorithm, jointly leverages assembly graphs and 3C signals to construct accurate chromosome-level assemblies for polyploid genomes, reducing missing ...

Hello. Thank you for visiting this article🙇“Will human jobs be taken away by the rapid evolution of AI?Or will it become a more powerful weapon than ever before?”—Currently, many creators and ...

Senzime AB (publ) announced the upcoming launch of EMGINE? Aurora, a major suite of software innovations for its Next-Generation TetraGraph® neuromuscular monitor. EMGINE Aurora introduces several ...

This is the repo for GRAPHENE (Ensembling Graph Predictions for AMR Parsing), a novel approach to ensemble semantic parsing and generation, to be presented at NeurIPS 2021. A preprint of the paper can ...

$109 million: That is the first sting facing Big Tech if it fails to meet Australia’s proposed Digital Duty of Care bill, which dropped yesterday. Those numbers compound if you’re a social media ...

Many of the questions that matter in enterprise data aren't just about individual rows — they're about how things connect: how two accounts are linked, what path a payment took, what context grounds ...