7 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 5 cited
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation
Yi Sun, Abel Valente, Sijia Liu +1
Prior works on formalizing explanations of a graph neural network (GNN) focus on a single use case - to preserve the prediction results through identifying important edges and node…
stat.ML2015★ 7 cited
From random walks to distances on unweighted graphs
Tatsunori B. Hashimoto, Yi Sun, Tommi S. Jaakkola
Large unweighted directed graphs are commonly used to capture relations between entities. A fundamental problem in the analysis of such networks is to properly define the similarit…
stat.ML2014★ 6 cited
Metric recovery from directed unweighted graphs
Tatsunori B. Hashimoto, Yi Sun, Tommi S. Jaakkola
We analyze directed, unweighted graphs obtained from by connecting vertex to iff . Examples of such graphs include -nearest n…