Anthropic's research shows that large language models build internal maps resembling biological perception used by humans.

9/23/2021: Create a "latest" branch to enable running IGMC with latest PyG versions. 11/23/2020: Optimized the subgraph extraction speed further. On large datasets it shows up to 20 times speed-up.

Abstract: Large-scale anonymized network sensing is essential for network protection, as it enables community-based privacy-preserving traffic analysis. Recently, the Anonymized Network Sensing Graph ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...

We applied swim flume-mediated exercise during zebrafish caudal fin regeneration to explore mechanical loading impacts on a robust model of organ regeneration. Exercise initiated during but not after ...

Abstract: In the field of graph self-supervised learning (GSSL), graph autoencoders and graph contrastive learning are two mainstream methods. Graph autoencoders aim to learn representations by ...

This directory contains code necessary to run the GraphSage algorithm. GraphSage can be viewed as a stochastic generalization of graph convolutions, and it is especially useful for massive, dynamic ...