Graph Representation Learning

Daniel and James discuss the importance of learning proper representations for text and graph data, emphasizing the need to move beyond traditional approaches to enable machines to truly understand context and structure. DeepMind's GraphNets library provides a powerful toolbox for learning over graph structures, offering exciting possibilities for various applications.