Abstract: Sampling random walks is a crucial component of many graph algorithms that perform graph embedding, link prediction, and other tasks. The effectiveness of these stochastic algorithms coupled ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...