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cs.LG2024
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija +1
The modelling of temporal patterns in dynamic graphs is an important current research issue in the development of time-aware GNNs. Whether or not a specific sequence of events in a…
cs.LG2024
Link Prediction with Untrained Message Passing Layers
Lisi Qarkaxhija, Anatol E. Wegner, Ingo Scholtes
Message passing neural networks (MPNNs) operate on graphs by exchanging information between neigbouring nodes. MPNNs have been successfully applied to various node-, edge-, and gra…