: TGNs maintain a "memory" (state) for each node, which is updated whenever a node is involved in an event (like a message or a link creation). Key Components :
: Compressed representation of a node's past interactions. : TGNs maintain a "memory" (state) for each
: Computes messages for nodes involved in an event. Memory Updater : Updates node memory using the new messages. stands for the Trigeminal Nerve
In AI, is a framework for deep learning on dynamic graphs (graphs that evolve over time, like social networks or financial transactions). : TGNs maintain a "memory" (state) for each
: Generates the final temporal embedding of a node for downstream tasks like link prediction.
In medicine, stands for the Trigeminal Nerve , the largest cranial nerve responsible for facial sensation and motor functions like biting and chewing.