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Found 4 papers, 4 papers with code
Dynamic Embeddings for Interaction Prediction
In recommender systems (RSs), predicting the next item that a user interacts with is critical for user retention.
A general method for estimating the prevalence of Influenza-Like-Symptoms with Wikipedia data
Influenza is an acute respiratory seasonal disease that affects millions of people worldwide and causes thousands of deaths in Europe alone.
Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs
Over the last decade, there has been an increasing interest in temporal graphs, pushed by a growing availability of temporally-annotated network data coming from social, biological and financial networks.
Which way? Direction-Aware Attributed Graph Embedding
Most studies ignore the directionality, so as to learn high-quality representations optimized for node classification.
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