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Found 3 papers, 2 papers with code
GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation
In this paper, we propose the Graph Temporal Edge Aggregation (GTEA) framework for inductive learning on Temporal Interaction Graphs (TIGs).
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach
In the context of e-payment transaction graphs, the resultant node and edge embeddings can effectively characterize the user-background as well as the financial transaction patterns of individual account holders.
Neural Entropic Estimation: A faster path to mutual information estimation
In particular, we show that MI-NEE reduces to MINE in the special case when the reference distribution is the product of marginal distributions, but faster convergence is possible by choosing the uniform distribution as the reference distribution instead.
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