29 citations · 75 across the 11 of their papers we have counts for
11 papers
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories
Ali Behrouz, Farnoosh Hashemi, Adel Javanmard +1
The past few decades have witnessed significant advances in the design of machine learning algorithms, from early studies on task-specific shallow models to more general deep Large…
KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation
Farnoosh Hashemi, Laks V. S. Lakshmanan
Digital maps play a crucial role in various applications such as navigation, fleet management, and ride-sharing, necessitating their accuracy and currency, which require timely upd…
A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement
Farnoosh Hashemi, Ali Behrouz
In many complex systems, the interactions between objects span multiple aspects. Multiplex networks are accurate paradigms to model such systems, where each edge is associated with…
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz, Farnoosh Hashemi
Graph Neural Networks (GNNs) have shown promising potential in graph representation learning. The majority of GNNs define a local message-passing mechanism, propagating information…
Generalized Densest Subgraph in Multiplex Networks
Ali Behrouz, Farnoosh Hashemi
Finding dense subgraphs of a large network is a fundamental problem in graph mining that has been studied extensively both for its theoretical richness and its many practical appli…
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian +1
Temporal hypergraphs provide a powerful paradigm for modeling time-dependent, higher-order interactions in complex systems. Representation learning for hypergraphs is essential for…
CS-TGN: Community Search via Temporal Graph Neural Networks
Farnoosh Hashemi, Ali Behrouz, Milad Rezaei Hajidehi
Searching for local communities is an important research challenge that allows for personalized community discovery and supports advanced data analysis in various complex networks,…
CS-MLGCN : Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks
Ali Behrouz, Farnoosh Hashemi
Community Search (CS) is one of the fundamental tasks in network science and has attracted much attention due to its ability to discover personalized communities with a wide range…
FirmCore Decomposition of Multilayer Networks
Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan
A key graph mining primitive is extracting dense structures from graphs, and this has led to interesting notions such as -cores which subsequently have been employed as building…
Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties
Michael Simpson, Farnoosh Hashemi, Laks V. S. Lakshmanan
We propose an information propagation model that captures important temporal aspects that have been well observed in the dynamics of fake news diffusion, in contrast with the diffu…
FirmTruss Community Search in Multilayer Networks
Ali Behrouz, Farnoosh Hashemi, Laks V. S. Lakshmanan
In applications such as biological, social, and transportation networks, interactions between objects span multiple aspects. For accurately modeling such applications, multilayer n…