
Graph Transformations
Data Skeptic
Understanding k-hop Message Passing in Graph Networks
This chapter delves into k-hop message passing in graph structures, illustrating how information flows through networks by examining both direct and indirect connections. Using social networks as an example, it highlights the shift from homogeneous to heterogeneous graphs and their significance in enhancing recommendation systems.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.