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Found 4 papers, 1 papers with code
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network
The final representations are the results of concatenating source and target embedding vectors.
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach
Vital node identification is the problem of finding nodes of highest importance in complex networks.
Parsisanj: a semi-automatic component-based approach towards search engine evaluation
Accessing to required data on the internet is wide via search engines in the last two decades owing to the huge amount of available data and the high rate of new data is generating daily.
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
We believe we are the first to use embeddings for the task of fair influence maximization.
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