SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs has been accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE). The work studies attribute-informed representation learning on bipartite graphs and scales it to large graphs.
MGDN: A Graph of Graphs Neural Network for Malware Detection is published in IEEE Transactions on Knowledge and Data Engineering (TKDE).
RIDA: a robust attack framework on incomplete graphs is published in World Wide Web Journal.
Neural Similarity Search on Supergraph Containment (Extended Abstract) appears in the proceedings of IEEE ICDE 2024.