The Influence of Network Structural Preference on Node Classification and Link Prediction. (arXiv:2208.03712v3 [cs.LG] UPDATED)

Recent advances in complex network analysis opened a wide range of
possibilities for applications in diverse fields. The power of the network
analysis depends on the node features. The topology-based node features are
realizations of local and global spatial relations and node connectivity
structure. Hence, collecting correct information on the node characteristics
and the connectivity structure of the neighboring nodes plays the most
prominent role in node classification and link prediction in complex network
analysis. The present work introduces a …

arxiv classification influence link prediction network node prediction