Abstract: Systems, methods, and computer-readable media provide a graph processing system that incorporates a graph neural network (GNN) based recommender system (RS), as well as a method for training a GNN based RS to address feature leakage that leads to overfitting of the trained GNN based RS. A message correction algorithm is used to modify a user node embedding and a positive item node embedding generated by the graph neural network when generating mini batches of training triples used to train the GNN based RS. The GNN message passing operations are performed on one graph only, in contrast to existing approaches which typically run GNN message passing operations on multiple adjusted input graphs constructed for multiple training triples.

Abstract: The present disclosure relates to tracking events that result from a conversation on a messaging platform and that occur outside of the messaging platform. In one embodiment, the messaging platform may provide a user-selectable option that enables a first party or a second party to indicate that an event has occurred outside of the messaging platform. In another embodiment, the messaging platform may be configured to detect when a document is exchanged in a conversation via the messaging platform. In yet another embodiment, information may be extracted from a document exchanged in a conversation via a messaging platform. The extracted information may be used to determine whether an event has occurred outside of the messaging platform.

Abstract: The present disclosure relates to tracking events that result from a conversation on a messaging platform and that occur outside of the messaging platform. In one embodiment, the messaging platform may provide a user-selectable option that enables a first party or a second party to indicate that an event has occurred outside of the messaging platform. In another embodiment, the messaging platform may be configured to detect when a document is exchanged in a conversation via the messaging platform. In yet another embodiment, information may be extracted from a document exchanged in a conversation via a messaging platform. The extracted information may be used to determine whether an event has occurred outside of the messaging platform.