activity
20162022
most citedGraph Anomaly Detection with Unsupervised GNNs

13 citations · 27 across the 6 of their papers we have counts for

collaborators

12 papers

cs.LG202213 cited

Graph Anomaly Detection with Unsupervised GNNs

Lingxiao Zhao, Saurabh Sawlani, Arvind Srinivasan +1

Graph-based anomaly detection finds numerous applications in the real-world. Thus, there exists extensive literature on the topic that has recently shifted toward deep detection mo…

cs.LG2021

Fast Attributed Graph Embedding via Density of States

Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu

Given a node-attributed graph, how can we efficiently represent it with few numerical features that expressively reflect its topology and attribute information? We propose A-DOGE,…

cs.DS202010 cited

A Study of Performance of Optimal Transport

Yihe Dong, Yu Gao, Richard Peng +2

We investigate the problem of efficiently computing optimal transport (OT) distances, which is equivalent to the node-capacitated minimum cost maximum flow problem in a bipartite g…

cs.DS20192 cited

Flowless: Extracting Densest Subgraphs Without Flow Computations

Digvijay Boob, Yu Gao, Richard Peng +4

We propose a simple and computationally efficient method for dense subgraph discovery, which is a classic problem both in theory and in practice. It is well known that dense subgra…

math.OC20192 cited

Faster width-dependent algorithm for mixed packing and covering LPs

Digvijay Boob, Saurabh Sawlani, Di Wang

In this paper, we give a faster width-dependent algorithm for mixed packing-covering LPs. Mixed packing-covering LPs are fundamental to combinatorial optimization in computer scien…

cs.DS2019

Parallel Batch-Dynamic Graphs: Algorithms and Lower Bounds

David Durfee, Laxman Dhulipala, Janardhan Kulkarni +3

In this paper we study the problem of dynamically maintaining graph properties under batches of edge insertions and deletions in the massively parallel model of computation. In thi…