Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices. - Mohammad Raihanul Islam; K. S. M. Tozammel Hossain; Siddharth Krishnan; Naren Ramakrishnan (AAAI, 2016)

A Mechanism Design Approach for Influence Maximization. - Michael Levet; Siddharth Krishnan (GAMENETS, 2016)

Seeing the forest for the trees: new approaches to forecasting cascades. - Siddharth Krishnan; Patrick Butler; Ravi Tandon; Jure Leskovec; Naren Ramakrishnan (WebSci, 2016)

Multi-Net: A Scalable Multiplex Network Embedding Framework. - Arunkumar Bagavathi; Siddharth Krishnan (COMPLEX NETWORKS (2), 2018)

MultiNet: Scalable Multilayer Network Embeddings. - Arunkumar Bagavathi; Siddharth Krishnan (CoRR, 2018)

GI-OHMS: Graphical Inference to Detect Overlapping Communities. - Nasheen Nur; Wenwen Dou; Xi Niu; Siddharth Krishnan; Noseong Park (CoRR, 2018)

Seeing the Forest for the Trees: New approaches to Characterizing and Forecasting Cascades. - Siddharth Krishnan (2018)

Examining untempered social media: analyzing cascades of polarized conversations. - Arunkumar Bagavathi; Pedram Bashiri; Shannon Reid; Matthew Phillips; Siddharth Krishnan (ASONAM, 2019)

ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. - Arunkumar Bagavathi; Siddharth Krishnan; Sanjay Subrahmanyan; S. L. Narasimhan (ICMLA, 2019)

Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. - Stephen Wooley; Andrew Edmonds; Arunkumar Bagavathi; Siddharth Krishnan (ICMLA, 2019)

DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. - Joshua Melton; Arunkumar Bagavathi; Siddharth Krishnan (ICMLA, 2020)

Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. - Michael Ridenhour; Arunkumar Bagavathi; Elaheh Raisi; Siddharth Krishnan (SBP-BRiMS, 2020)

A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. - Prasad Hajare; Sadia Kamal; Siddharth Krishnan; Arunkumar Bagavathi (ICMLA, 2021)

PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings. - Maya Kapoor; Joshua Melton; Michael Ridenhour; Siddharth Krishnan; Thomas Moyer (ICMLA, 2021)

Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning. - Maya Kapoor; Joshua Melton; Michael Ridenhour; Thomas Moyer; Siddharth Krishnan (CIKM, 2022)

Deep Packet Inspection at Scale: Search Optimization Through Locality-Sensitive Hashing. - Maya Kapoor; Siddharth Krishnan; Thomas Moyer (NCA, 2022)

Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks. - Joshua Melton; Michael Ridenhour; Siddharth Krishnan (CoRR, 2022)

Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning. - Maya Kapoor; Joshua Melton; Michael Ridenhour; Mahalavanya Sriram; Thomas Moyer; Siddharth Krishnan (CoRR, 2022)

Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning. - Maya Kapoor; Michael Napolitano; Jonathan Quance; Thomas Moyer; Siddharth Krishnan (AAAI, 2023)

A Multi-Channel, Low-Voltage, High-Frequency Programmable Electrical Stimulator for Sensory Feedback. - Ariel Slepyan; Siddharth Krishnan; Tianao Li; Nitish V. Thakor (BioCAS, 2023)

muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs. - Joshua Melton; Siddharth Krishnan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Preface: Special issue on NLP approaches to offensive content online. - Marcos Zampieri; Isabelle Augenstein; Siddharth Krishnan; Joshua Melton; Preslav Nakov (Nat. Lang. Eng., 2023)

Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. - Joshua Melton; Shannon Reid; Gabriel Terejanu; Siddharth Krishnan (ASONAM (3), 2024)

Quantifying Influencer Impact on Affective Polarization. - Rezaur Rashid; Joshua Melton; Ouldouz Ghorbani; Siddharth Krishnan; Shannon Reid; Gabriel Terejanu (ICMLA, 2024)

Quantifying Influencer Effects on Affective Polarization. - Rezaur Rashid; Joshua Melton; Ouldouz Ghorbani; Siddharth Krishnan; Shannon Reid; Gabriel Terejanu (CoRR, 2024)

A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation. - Avisha Kumar; Kunal Kotkar; Kelly Jiang; Meghana Bhimreddy; Daniel Davidar; Carly Weber-Levine; Siddharth Krishnan; Max J. Kerensky; Ruixing Liang; Kelley M. Kempski Leadingham; Denis Routkevitch; Andrew M. Hersh; et al. (CoRR, 2024)

A Systematic Review of Open Datasets Used in Text-to-Image (T2I) Gen AI Model Safety. - Trupti Bavalatti; Osama Ahmed; Dhaval Potdar; Rakeen Rouf; Faraz Jawed; Manish Kumar Govind; Siddharth Krishnan (IEEE Access, 2025)