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MetaGCN-CD improves community detection in heterogeneous academic networks

A supervised graph-learning model combining metapath embeddings, graph convolution and attention outperformed 12 baselines on the DBLP and ACM academic-network benchmarks.

Terms from Convolution Output Size to Natural Language Processing Vectorization Methods Asked in the 2nd G-Certification Mock Exam

Source: Yoshitaka Tomiyama Published: 2020-03-04 / 44 minutes / 24,000 views Scope: The second in a series of explanations ...
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What is a convolutional neural network (CNN)?

A convolutional neural network (CNN) is a category of machine learning model. Specifically, it is a type of deep learning algorithm that is well suited to analyzing visual data. CNNs are commonly used ...