activity
20152023
most citedPredicting Dynamic Embedding Trajectory in Temporal Interaction Networks

684 citations · 1.7k across the 17 of their papers we have counts for

collaborators

19 papers

hep-th2023★ 1 cited

Thermal one-point functions: CFT's with fermions, large and large spin

Justin R. David, Srijan Kumar

We apply the OPE inversion formula on thermal two-point functions of fermions to obtain thermal one-point function of fermion bi-linears appearing in the corresponding OPE. We prim…

cs.SI2023★ 19 cited

Predicting Information Pathways Across Online Communities

Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma +4

The problem of community-level information pathway prediction (CLIPP) aims at predicting the transmission trajectory of content across online communities. A successful solution to…

hep-th2023★ 22 cited

Thermal one point functions, large and interior geometry of black holes

Justin R. David, Srijan Kumar

We study thermal one point functions of massive scalars in black holes. These are induced by coupling the scalar to either the Weyl tensor squared or the Gauss-Bonnet t…

cs.SI2022★ 246 cited

A Survey of Graph Neural Networks for Social Recommender Systems

Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi +4

Social recommender systems (SocialRS) simultaneously leverage the user-to-item interactions as well as the user-to-user social relations for the task of generating item recommendat…

cs.SI2022★ 1 cited

Representation Learning in Continuous-Time Dynamic Signed Networks

Kartik Sharma, Mohit Raghavendra, Yeon Chang Lee +2

Signed networks allow us to model conflicting relationships and interactions, such as friend/enemy and support/oppose. These signed interactions happen in real-time. Modeling such…

cs.SI2021

Deception Detection in Group Video Conversations using Dynamic Interaction Networks

Srijan Kumar, Chongyang Bai, V. S. Subrahmanian +1

Detecting groups of people who are jointly deceptive in video conversations is crucial in settings such as meetings, sales pitches, and negotiations. Past work on deception in vide…