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Anuththari Gamage

2 accepted papers

2020

Multi-MotifGAN (MMGAN): Motif-Targeted Graph Generation And Prediction

ICASSP 2020accepted

Generative graph models create instances of graphs that mimic the properties of real-world networks. Generative models are successful at retaining pairwise associations in the underlying networks but often fail to capture higher-order connectivity patterns known as network motifs. Different types of…

Cited by 0SourceScholar
2019

Common Randomized Shortest Paths (C-RSP): A Simple Yet Effective Framework for Multi-view Graph Embedding

ICASSP 2019accepted

Real-world data sets often provide several types of information about the same set of entities, showing us how they interact from different viewpoints. These data sets are well represented by multi-view graphs, which consist of multiple edge sets across the same set of nodes. Combining multiple view…

Cited by 0SourceScholar