37 citations · 80 across the 10 of their papers we have counts for
4 papers · 1 filter
Graph Structural Attack by Perturbing Spectral Distance
Lu Lin, Ethan Blaser, Hongning Wang
Graph Convolutional Networks (GCNs) have fueled a surge of research interest due to their encouraging performance on graph learning tasks, but they are also shown vulnerability to…
Graph Embedding with Hierarchical Attentive Membership
Lu Lin, Ethan Blaser, Hongning Wang
The exploitation of graph structures is the key to effectively learning representations of nodes that preserve useful information in graphs. A remarkable property of graph is that…
Unbiased Graph Embedding with Biased Graph Observations
Nan Wang, Lu Lin, Jundong Li +1
Graph embedding techniques are pivotal in real-world machine learning tasks that operate on graph-structured data, such as social recommendation and protein structure modeling. Emb…
A General Framework of Online Updating Variable Selection for Generalized Linear Models with Streaming Datasets
Xiaoyu Ma, Lu Lin, Yujie Gai
In the research field of big data, one of important issues is how to recover the sequentially changing sets of true features when the data sets arrive sequentially. The paper prese…