Siddharth Krishnan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Sensory Feedback

Influence Maximization

Top Venues

Nat. Lang. Eng.

Publications

Joshua Melton, Shannon Reid, Gabriel Terejanu, Siddharth Krishnan
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. CoRR (2024)
Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu
Quantifying Influencer Effects on Affective Polarization. CoRR (2024)
Ariel Slepyan, Siddharth Krishnan, Tianao Li, Nitish V. Thakor
A Multi-Channel, Low-Voltage, High-Frequency Programmable Electrical Stimulator for Sensory Feedback. BioCAS (2023)
Joshua Melton, Siddharth Krishnan
muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Marcos Zampieri, Isabelle Augenstein, Siddharth Krishnan, Joshua Melton, Preslav Nakov
Preface: Special issue on NLP approaches to offensive content online. Nat. Lang. Eng. 29 (6) (2023)
Maya Kapoor, Michael Napolitano, Jonathan Quance, Thomas Moyer, Siddharth Krishnan
Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning. AAAI (2023)
Maya Kapoor, Siddharth Krishnan, Thomas Moyer
Deep Packet Inspection at Scale: Search Optimization Through Locality-Sensitive Hashing. NCA (2022)
Joshua Melton, Michael Ridenhour, Siddharth Krishnan
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks. CoRR (2022)
Maya Kapoor, Joshua Melton, Michael Ridenhour, Thomas Moyer, Siddharth Krishnan
Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning. CIKM (2022)
Maya Kapoor, Joshua Melton, Michael Ridenhour, Mahalavanya Sriram, Thomas Moyer, Siddharth Krishnan
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning. CoRR (2022)
Maya Kapoor, Joshua Melton, Michael Ridenhour, Siddharth Krishnan, Thomas Moyer
PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings. ICMLA (2021)
Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. ICMLA (2021)
Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. CoRR (2021)
Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. CoRR (2020)
Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. SBP-BRiMS (2020)
Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. ICMLA (2020)
Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. CoRR (2020)
Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan
Examining Untempered Social Media: Analyzing Cascades of Polarized Conversations. CoRR (2019)
Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. ICMLA (2019)
Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. CoRR (2019)
Stephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan
Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. ICMLA (2019)
Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan
Examining untempered social media: analyzing cascades of polarized conversations. ASONAM (2019)
Nasheen Nur, Wenwen Dou, Xi Niu, Siddharth Krishnan, Noseong Park
GI-OHMS: Graphical Inference to Detect Overlapping Communities. CoRR (2018)
Arunkumar Bagavathi, Siddharth Krishnan
MultiNet: Scalable Multilayer Network Embeddings. CoRR (2018)
Arunkumar Bagavathi, Siddharth Krishnan
Multi-Net: A Scalable Multiplex Network Embedding Framework. COMPLEX NETWORKS (2) (2018)
Michael Levet, Siddharth Krishnan
A Mechanism Design Approach for Influence Maximization. GAMENETS (2016)
Siddharth Krishnan, Patrick Butler, Ravi Tandon, Jure Leskovec, Naren Ramakrishnan
Seeing the forest for the trees: new approaches to forecasting cascades. WebSci (2016)
Mohammad Raihanul Islam, K. S. M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan
Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices. AAAI (2016)