Shivam Agarwal

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 54

Top Topics

Visual Analytics

Small World Networks

Top Venues

Comput. Graph. Forum

Publications

Samyak Jain, Parth Chhabra, Atula Tejaswi Neerkaje, Puneet Mathur, Ramit Sawhney, Shivam Agarwal, Preslav Nakov, Sudheer Chava, Dinesh Manocha
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. LREC/COLING (2024)
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW (2024)
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR (2024)
Sophie Maddocks, Jaclyn A. Siegel, Asia A. Eaton, Shivam Agarwal
Who Is Invited to the Metaverse? Analyzing Media Coverage of an Emerging Virtual World. Cyberpsychology Behav. Soc. Netw. 27 (1) (2024)
Carina Liebers, Shivam Agarwal, Maximilian Krug, Karola Pitsch, Fabian Beck
VisCoMET: Visually Analyzing Team Collaboration in Medical Emergency Trainings. Comput. Graph. Forum 42 (3) (2023)
Carina Liebers, Shivam Agarwal, Fabian Beck
CohExplore: Visually Supporting Students in Exploring Text Cohesion. EuroVis (Posters) (2023)
Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR (2023)
Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. ACL (Findings) (2023)
Arup Mondal, Priyam Panda, Shivam Agarwal, Abdelrahaman Aly, Debayan Gupta
Fast and Secure Oblivious Stable Matching over Arithmetic Circuits. IACR Cryptol. ePrint Arch. 2023 (2023)
Yash Pandya, Kaustav Nandy, Shivam Agarwal
Homography based Player Identification in Live Sports. CVPR Workshops (2023)
Parth Chhabra, Atula Tejaswi Neerkaje, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. SIGIR (2023)
Shivam Agarwal
Visualizing Element Interactions in Dynamic Overlapping Sets. EuroVis (Short Papers) (2023)
Shivam Agarwal, Ritesh Soun, Rahul Shivani, Vishnu Varanasi, Navroop Gill, Ramit Sawhney
HyperSteg: Hyperbolic Learning for Deep Steganography. ICASSP (2023)
Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) (2023)
Arpit Narechania, Surya Chakraborty, Shivam Agarwal, Atanu R. Sinha, Ryan A. Rossi, Fan Du, Jane Hoffswell, Shunan Guo, Eunyee Koh, Alex Endert, Shamkant B. Navathe
DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. BigData (2023)
Cedric Krause, Shivam Agarwal, Michael Burch, Fabian Beck
Visually Abstracting Event Sequences as Double Trees Enriched with Category-Based Comparison. Comput. Graph. Forum 42 (6) (2023)
Ramit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram Nanda, Sudheer Chava
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models. CoRR (2022)
Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Kapil Jayesh Pathak
Orthogonal Multi-Manifold Enriching of Directed Networks. AISTATS (2022)
Shivam Agarwal, Günter Wallner, Jeremy D. Watson, Fabian Beck
Spatio-temporal Analysis of Multi-agent Scheduling Behaviors on Fixed-track Networks. PacificVis (2022)
Shivam Agarwal, Ramit Sawhney, Sanchit Ahuja, Ritesh Soun, Sudheer Chava
HYPHEN: Hyperbolic Hawkes Attention For Text Streams. ACL (2) (2022)
Shivam Agarwal, Shahid Latif, Aristide Rothweiler, Fabian Beck
Visualizing the Evolution of Multi-agent Game-playing Behaviors. EuroVis (Posters) (2022)
Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek
Towards Suicide Ideation Detection Through Online Conversational Context. SIGIR (2022)
Ramit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram Nanda, Sudheer Chava
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models. NAACL-HLT (2022)
Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr
THINK: Temporal Hypergraph Hyperbolic Network. ICDM (2022)
Shahid Latif, Shivam Agarwal, Simon Gottschalk, Carina Chrosch, Felix Feit, Johannes Jahn, Tobias Braun, Yanick Christian Tchenko, Elena Demidova, Fabian Beck
Visually Connecting Historical Figures Through Event Knowledge Graphs. IEEE VIS (Short Papers) (2021)
Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading. EACL (2021)
Prashanthi Ramachandran, Shivam Agarwal, Arup Mondal, Aastha Shah, Debayan Gupta
S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training. CoRR (2021)
Cedric Krause, Shivam Agarwal, Mohammad Ghoniem, Fabian Beck
Visual Comparison of Multi-label Classification Results. VMV (2021)
Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah
Quantitative Day Trading from Natural Language using Reinforcement Learning. NAACL-HLT (2021)
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah
Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. WWW (2021)
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. AAAI (2021)
Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek
HypMix: Hyperbolic Interpolative Data Augmentation. EMNLP (1) (2021)
Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa, Rajiv Ratn Shah
Hyperbolic Online Time Stream Modeling. SIGIR (2021)
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. CoRR (2021)
Shahid Latif, Shivam Agarwal, Simon Gottschalk, Carina Chrosch, Felix Feit, Johannes Jahn, Tobias Braun, Yanick Christian Tchenko, Elena Demidova, Fabian Beck
Visually Connecting Historical Figures Through Event Knowledge Graphs. CoRR (2021)
Ramit Sawhney, Arnav Wadhwa, Ayush Mangal, Vivek Mittal, Shivam Agarwal, Rajiv Ratn Shah
Modeling financial uncertainty with multivariate temporal entropy-based curriculums. UAI (2021)
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates. IJCAI (2021)
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations. EMNLP (1) (2020)
Shivam Agarwal, Gleb Tkachev, Michel Wermelinger, Fabian Beck
Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs. VMV (2020)
Shivam Agarwal, Fabian Beck
Set Streams: Visual Exploration of Dynamic Overlapping Sets. Comput. Graph. Forum 39 (3) (2020)
Shivam Agarwal, Siddarth Venkatraman
Deep Residual Neural Networks for Image in Audio Steganography (Workshop Paper). BigMM (2020)
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. NeurIPS (Competition and Demos) (2020)
Shivam Agarwal, Christian Herrmann, Günter Wallner, Fabian Beck
Visualizing AI Playtesting Data of 2D Side-scrolling Games. CoG (2020)
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah
Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. ICDM (2020)
Shivam Agarwal, Günter Wallner, Fabian Beck
Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game. Comput. Graph. Forum 39 (3) (2020)
Shivam Agarwal, Shahid Latif, Fabian Beck
How Visualization PhD Students Cope with Paper Rejections. CoRR (2020)
Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah
GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion. COLING (2020)
Shivam Agarwal, Jonas Auda, Stefan Schneegaß, Fabian Beck
A Design and Application Space for Visualizing User Sessions of Virtual and Mixed Reality Environments. VMV (2020)
Shivam Agarwal, Siddarth Venkatraman
Deep Residual Neural Networks for Image in Speech Steganography. CoRR (2020)
Shivam Agarwal, Harsh Kumar, Vinayak Hande
3 dB Bandwidth Enhancement using Miller Attenuation Technique. MWSCAS (2018)
Kuruvilla Lukose, Shivam Agarwal, Vidyashankar Nagesha Rao, Jaya Sreevalsan-Nair
Design Study for Creating Pathfinder: A Visualization Tool for Generating Software Test Plans using Model based Testing. VISIGRAPP (3: IVAPP) (2018)
Jaya Sreevalsan-Nair, Shivam Agarwal
NodeTrix-CommunityHierarchy: Techniques for Finding Hierarchical Communities for Visual Analytics of Small-world Networks. VISIGRAPP (3: IVAPP) (2017)
Mohammed Nasar Ibrahim, Shivam Agarwal, Kiran Kumar Vupparaboina, Jay Chhablani, Ashutosh Richhariya, Soumya Jana
Segmenting and Labeling blood vessels in choroidal Haller's layer: A multiple target tracking approach. BHI (2017)
Shivam Agarwal, Amit Tomar, Jaya Sreevalsan-Nair
NodeTrix-Multiplex: Visual Analytics of Multiplex Small World Networks. COMPLEX NETWORKS (2016)
Kazem Taghva, Shivam Agarwal
Utilizing web data in identification and correction of OCR errors. DRR (2014)
Akhil Mathur, Shivam Agarwal, Sharad Jaiswal
Exploring playback and recording of web-based audio media on low-end feature phones. ACM DEV (3) (2013)