activity
20122025
most citedPersonalized PageRank Estimation and Search: A Bidirectional Approach

120 citations · 213 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL2025★ 7 cited

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming

Mrinank Sharma, Meg Tong, Jesse Mu +40

Large language models (LLMs) are vulnerable to universal jailbreaks-prompting strategies that systematically bypass model safeguards and enable users to carry out harmful processes…

cs.DS2016★ 6 cited

Approximate Personalized PageRank on Dynamic Graphs

Hongyang Zhang, Peter Lofgren, Ashish Goel

We propose and analyze two algorithms for maintaining approximate Personalized PageRank (PPR) vectors on a dynamic graph, where edges are added or deleted. Our algorithms are natur…

cs.DS2015★ 23 cited

Efficient Algorithms for Personalized PageRank

Peter Lofgren

We present new, more efficient algorithms for estimating random walk scores such as Personalized PageRank from a given source node to one or several target nodes. These scores are…

cs.DS2015★ 7 cited

Bidirectional PageRank Estimation: From Average-Case to Worst-Case

Peter Lofgren, Siddhartha Banerjee, Ashish Goel

We present a new algorithm for estimating the Personalized PageRank (PPR) between a source and target node on undirected graphs, with sublinear running-time guarantees over the wor…

cs.DS2015★ 120 cited

Personalized PageRank Estimation and Search: A Bidirectional Approach

Peter Lofgren, Siddhartha Banerjee, Ashish Goel

We present new algorithms for Personalized PageRank estimation and Personalized PageRank search. First, for the problem of estimating Personalized PageRank (PPR) from a source dist…

cs.DS2015★ 22 cited

Fast Bidirectional Probability Estimation in Markov Models

Siddhartha Banerjee, Peter Lofgren

We develop a new bidirectional algorithm for estimating Markov chain multi-step transition probabilities: given a Markov chain, we want to estimate the probability of hitting a giv…