The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

Liu Qi, in collaboration with Harvard Medical School's Marinka Zitnik lab, have developed a novel deep generative algorithm, PocketGen. This algorithm, based on graph representation learning and ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach ... idea and designed the algorithms along with Dr ...

It’s often assumed that Dijkstra’s algorithm, or the A* graph traversal algorithm is used, but the reality is that although these pure graph theory algorithms are decidedly influential ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...