33 citations · 135 across the 23 of their papers we have counts for
4 papers · 1 filter
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification
Juncheng Liu, Yiwei Wang, Bryan Hooi +2
Node classification on graphs is an important task in many practical domains. It usually requires labels for training, which can be difficult or expensive to obtain in practice. Gi…
Fast Approximate CoSimRanks via Random Projections
Renchi Yang, Xiaokui Xiao
Given a graph with nodes and two nodes , the {\em CoSimRank} value quantifies the similarity between and based on graph topology. Compared to Sim…
PANE: scalable and effective attributed network embedding
Renchi Yang, Jieming Shi, Xiaokui Xiao +3
Given a graph G where each node is associated with a set of attributes, attributed network embedding (ANE) maps each node v in G to a compact vector Xv, which can be used in downst…
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs
Jieming Shi, Tianyuan Jin, Renchi Yang +2
Given a graph G and a node u in G, a single source SimRank query evaluates the similarity between u and every node v in G. Existing approaches to single source SimRank computation…