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A comparative study of similarity-based and GNN-based link prediction approaches
Link prediction methods that are based on pairwise node similarity are well-established approaches in the literature.
Neighborhood-Based Label Propagation in Large Protein Graphs
Other important attributes, while present for proteins in Swiss-Prot, are often missing for proteins in TrEMBL, such as their function and cellular localization.
Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization
We propose a scalable method for semi-supervised (transductive) learning from massive network-structured datasets.
Multiple instance learning for sequence data with across bag dependencies
In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences.
Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction
The choice of architecture of artificial neuron network (ANN) is still a challenging task that users face every time.
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