Ambuj K. Singh

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 87

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

KDD

ICDE

Publications

Saurabh Sharma, Ambuj K. Singh
Electioneering the Network: Dynamic Multi-Step Adversarial Attacks for Community Canvassing. CoRR (2024)
Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. ICLR (2024)
Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Ambuj K. Singh, Francesco Bullo
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees. CoRR (2024)
Kha-Dinh Luong, Ambuj K. Singh
Application of Transformers in Cheminformatics. J. Chem. Inf. Model. 64 (11) (2024)
Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. AAAI (2024)
Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. CoRR (2024)
Qiming Wu, Zichen Chen, Will Corcoran, Misha Sra, Ambuj K. Singh
GraphEval2000: Benchmarking and Improving Large Language Models on Graph Datasets. CoRR (2024)
Zichen Chen, Ambuj K. Singh, Misha Sra
LMExplainer: a Knowledge-Enhanced Explainer for Language Models. CoRR (2023)
Zichen Chen, Jianda Chen, Mitali Gaidhani, Ambuj K. Singh, Misha Sra
XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making. CoRR (2023)
Zexi Huang, Mert Kosan, Arlei Silva, Ambuj K. Singh
Link Prediction without Graph Neural Networks. CoRR (2023)
Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh
Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract). ICDE (2023)
Mert Kosan, Arlei Silva, Ambuj K. Singh
Robust Ante-hoc Graph Explainer using Bilevel Optimization. CoRR (2023)
Rhys Tracy, Haotian Xia, Alex Rasla, Yuan-Fang Wang, Ambuj K. Singh
Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions. CoRR (2023)
Sean Jaffe, Ambuj K. Singh, Francesco Bullo
IDKM: Memory Efficient Neural Network Quantization via Implicit, Differentiable k-Means. CoRR (2023)
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. ICDE (2023)
Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. CoRR (2023)
Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. CoRR (2023)
Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
Global Counterfactual Explainer for Graph Neural Networks. WSDM (2023)
Kha-Dinh Luong, Ambuj K. Singh
Fragment-based Pretraining and Finetuning on Molecular Graphs. NeurIPS (2023)
Francesco Seccamonte, Ambuj K. Singh, Francesco Bullo
Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks. CCTA (2023)
Sikun Lin, Shuyun Tang, Scott T. Grafton, Ambuj K. Singh
Deep Representations for Time-varying Brain Datasets. KDD (2022)
Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh
Learning Deep Graph Representations via Convolutional Neural Networks. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Wei Ye, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh
Modeling Human-AI Team Decision Making. CoRR (2022)
Sikun Lin, Thomas Sprague, Ambuj K. Singh
Mind Reader: Reconstructing complex images from brain activities. CoRR (2022)
Furkan Kocayusufoglu, Arlei Silva, Ambuj K. Singh
FlowGEN: A Generative Model for Flow Graphs. KDD (2022)
Zexi Huang, Arlei Silva, Ambuj K. Singh
POLE: Polarized Embedding for Signed Networks. WSDM (2022)
Wei Ye, Jiayi Yang, Sourav Medya, Ambuj K. Singh
Incorporating Heterophily into Graph Neural Networks for Graph Classification. CoRR (2022)
Wei Ye, Zexi Huang, Yunqi Hong, Ambuj K. Singh
Graph Neural Diffusion Networks for Semi-supervised Learning. CoRR (2022)
Sikun Lin, Thomas Sprague, Ambuj K. Singh
Mind Reader: Reconstructing complex images from brain activities. NeurIPS (2022)
Sikun Lin, Shuyun Tang, Scott T. Grafton, Ambuj K. Singh
Deep Representations for Time-varying Brain Datasets. CoRR (2022)
Sourav Medya, Arlei Silva, Ambuj K. Singh
Approximate Algorithms for Data-Driven Influence Limitation. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj K. Singh
Global Counterfactual Explainer for Graph Neural Networks. CoRR (2022)
Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh
Tree++: Truncated Tree Based Graph Kernels. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Hongyuan You, Sikun Lin, Ambuj K. Singh
Learning Interpretable Models for Coupled Networks Under Domain Constraints. AAAI (2021)
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
Incorporating User's Preference into Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 33 (12) (2021)
Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi, Ambuj K. Singh
Event Detection on Dynamic Graphs. CoRR (2021)
Zexi Huang, Arlei Silva, Ambuj K. Singh
POLE: Polarized Embedding for Signed Networks. CoRR (2021)
Zexi Huang, Arlei Silva, Ambuj K. Singh
A Broader Picture of Random-walk Based Graph Embedding. CoRR (2021)
Zexi Huang, Arlei Silva, Ambuj K. Singh
A Broader Picture of Random-walk Based Graph Embedding. KDD (2021)
Arlei Silva, Ambuj K. Singh
Group Testing on a Network. AAAI (2021)
Arlei Lopes da Silva, Furkan Kocayusufoglu, Saber Jafarpour, Francesco Bullo, Ananthram Swami, Ambuj K. Singh
Combining Physics and Machine Learning for Network Flow Estimation. ICLR (2021)
Hongyuan You, Sikun Lin, Ambuj K. Singh
Learning Interpretable Models for Coupled Networks Under Domain Constraints. CoRR (2021)
Hongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh
DANR: Discrepancy-aware Network Regularization. CoRR (2020)
Omid Askarisichani, Ambuj K. Singh, Francesco Bullo, Noah E. Friedkin
The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States. CoRR (2020)
Hongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh
DANR: Discrepancy-aware Network Regularization. SDM (2020)
Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh
A Game Theoretic Approach For Core Resilience. IJCAI (2020)
Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh
Tree++: Truncated Tree Based Graph Kernels. CoRR (2020)
Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. NeurIPS (2020)
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
Incorporating User's Preference into Attributed Graph Clustering. CoRR (2020)
Omid Askarisichani, Elizabeth Y. Huang, Kekoa S. Sato, Noah E. Friedkin, Francesco Bullo, Ambuj K. Singh
Expertise and confidence explain how social influence evolves along intellective tasks. CoRR (2020)
Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj K. Singh
A Game Theoretic Approach For k-Core Minimization. AAMAS (2020)
Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh
DeepMap: Learning Deep Representations for Graph Classification. CoRR (2020)
Victor Amelkin, Petko Bogdanov, Ambuj K. Singh
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. ACM Trans. Knowl. Discov. Data 13 (4) (2019)
Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh
K-Core Minimization: A Game Theoretic Approach. CoRR (2019)
Haraldur Tómas Hallgrímsson, Richika Sharan, Scott T. Grafton, Ambuj K. Singh
Estimating localized complexity of white-matter wiring with GANs. CoRR (2019)
Sourav Medya, Arlei Silva, Ambuj K. Singh
Influence Minimization Under Budget and Matroid Constraints: Extended Version. CoRR (2019)
Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
Learning Heuristics over Large Graphs via Deep Reinforcement Learning. CoRR (2019)
Thomas Schibler, Ambuj K. Singh, Subhash Suri
On Multi-Dimensional Team Formation. CCCG (2019)
Victor Amelkin, Ambuj K. Singh
Fighting Opinion Control in Social Networks via Link Recommendation. KDD (2019)
Haraldur Tómas Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton, Ambuj K. Singh
Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity. NeuroImage 172 (2018)
Xuan-Hong Dang, Omid Askarisichani, Ambuj K. Singh
Learning Multiclassifiers with Predictive Features that Vary with Data Distribution. IEEE BigData (2018)
Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami
Group Centrality Maximization via Network Design. SDM (2018)
Sourav Medya, Jithin Vachery, Sayan Ranu, Ambuj K. Singh
Noticeable Network Delay Minimization via Node Upgrades. Proc. VLDB Endow. 11 (9) (2018)
Haraldur Tómas Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton, Ambuj K. Singh
Spatial Coherence of Oriented White Matter Microstructure: Applications to White Matter Regions Associated with Genetic Similarity. CoRR (2018)
Sourav Medya, Petko Bogdanov, Ambuj K. Singh
Making a Small World Smaller: Path Optimization in Networks. IEEE Trans. Knowl. Data Eng. 30 (8) (2018)
Furkan Kocayusufoglu, Minh X. Hoang, Ambuj K. Singh
Summarizing Network Processes with Network-Constrained Boolean Matrix Factorization. ICDM (2018)
Arlei Silva, Ambuj K. Singh, Ananthram Swami
Spectral Algorithms for Temporal Graph Cuts. WWW (2018)
Ertugrul Necdet Ciftcioglu, Siddharth Pal, Kevin S. Chan, Derya H. Cansever, Ananthram Swami, Ambuj K. Singh, Prithwish Basu
Topology Design Games and Dynamics in Adversarial Environments. IEEE J. Sel. Areas Commun. 35 (3) (2017)
Arlei Silva, Ambuj K. Singh, Ananthram Swami
Spectral Algorithms for Temporal Graph Cuts. CoRR (2017)
Xuan-Hong Dang, Hongyuan You, Ambuj K. Singh, Scott T. Grafton
Subnetwork Mining with Spatial and Temporal Smoothness. SDM (2017)
Sourav Medya, Ludmila Cherkasova, Ambuj K. Singh
Predictive modeling and scalability analysis for large graph analytics. IM (2017)
Victor Amelkin, Ambuj K. Singh
Disabling External Influence in Social Networks via Edge Recommendation. CoRR (2017)
Alex T. Jones, Noah E. Friedkin, Ambuj K. Singh
Modeling the Co-evolution of Committee Formation and Awareness Networks in Organizations. COMPLEX NETWORKS (2017)
Victor Amelkin, Petko Bogdanov, Ambuj K. Singh
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. ICDE (2017)
Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami
Maximizing Coverage Centrality via Network Design: Extended Version. CoRR (2017)
Minh X. Hoang, Xuan-Hong Dang, Xiang Wu, Zhenyu Yan, Ambuj K. Singh
GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks. WWW (2017)
Victor Amelkin, Francesco Bullo, Ambuj K. Singh
Polar Opinion Dynamics in Social Networks. IEEE Trans. Autom. Control. 62 (11) (2017)
Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K. Singh, Ananthram Swami
Graph Wavelets via Sparse Cuts. KDD (2016)
Ertugrul N. Ciftcioglu, Siddharth Pal, Kevin S. Chan, Derya H. Cansever, Ananthram Swami, Ambuj K. Singh, Prithwish Basu
Topology design under adversarial dynamics. WiOpt (2016)
Minh X. Hoang, Yu Zheng, Ambuj K. Singh
FCCF: forecasting citywide crowd flows based on big data. SIGSPATIAL/GIS (2016)
Arlei Silva, Ramya Raghavendra, Mudhakar Srivatsa, Ambuj K. Singh
Prediction-based Online Trajectory Compression. CoRR (2016)
Vishwakarma Singh, Bo Zong, Ambuj K. Singh
Nearest Keyword Set Search in Multi-Dimensional Datasets. IEEE Trans. Knowl. Data Eng. 28 (3) (2016)
Sourav Medya, Petko Bogdanov, Ambuj K. Singh
Towards Scalable Network Delay Minimization. ICDM (2016)
Sourav Medya, Petko Bogdanov, Ambuj K. Singh
Towards Scalable Network Delay Minimization. CoRR (2016)
Xuan-Hong Dang, Arlei Silva, Ambuj K. Singh, Ananthram Swami, Prithwish Basu
Outlier Detection from Network Data with Subnetwork Interpretation. CoRR (2016)
Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K. Singh, Ananthram Swami
Graph Wavelets via Sparse Cuts. CoRR (2016)
Xuan-Hong Dang, Arlei Silva, Ambuj K. Singh, Ananthram Swami, Prithwish Basu
Outlier Detection from Network Data with Subnetwork Interpretation. ICDM (2016)
Bo Zong, Xusheng Xiao, Zhichun Li, Zhenyu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, Guofei Jiang
Behavior Query Discovery in System-Generated Temporal Graphs. Proc. VLDB Endow. 9 (4) (2015)
Arlei Silva, Petko Bogdanov, Ambuj K. Singh
Hierarchical in-network attribute compression via importance sampling. ICDE (2015)
Bo Zong, Xusheng Xiao, Zhichun Li, Zhenyu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, Guofei Jiang
Behavior Query Discovery in System-Generated Temporal Graphs. CoRR (2015)
Xuan-Hong Dang, Hongyuan You, Petko Bogdanov, Ambuj K. Singh
Learning Predictive Substructures with Regularization for Network Data. ICDM (2015)
Victor Amelkin, Ambuj K. Singh, Petko Bogdanov
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. CoRR (2015)
Bruno Ribeiro, Minh X. Hoang, Ambuj K. Singh
Beyond Models: Forecasting Complex Network Processes Directly from Data. WWW (2015)
Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu
Discriminative Subnetworks with Regularized Spectral Learning for Global-state Network Data. CoRR (2015)
Bo Zong, Ramya Raghavendra, Mudhakar Srivatsa, Xifeng Yan, Ambuj K. Singh, Kang-Won Lee
Cloud service placement via subgraph matching. ICDE (2014)
Minh X. Hoang, Ram Ramanathan, Ambuj K. Singh
Structure and evolution of missed collaborations in large networks. INFOCOM Workshops (2014)
Vishwakarma Singh, Ambuj K. Singh
Nearest Keyword Set Search in Multi-dimensional Datasets. CoRR (2014)
Sayan Ranu, Minh X. Hoang, Ambuj K. Singh
Answering top-k representative queries on graph databases. SIGMOD Conference (2014)
Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski
Modeling individual topic-specific behavior and influence backbone networks in social media. Soc. Netw. Anal. Min. 4 (1) (2014)
Dong-Anh Nguyen, Tarek F. Abdelzaher, Steven A. Borbash, Xuan-Hong Dang, Raghu K. Ganti, Ambuj K. Singh, Mudhakar Srivatsa
On Critical Event Observability Using Social Networks: A Disaster Monitoring Perspective. MILCOM (2014)

Ambuj K. Singh

Publication Activity (10 Years)

Top Topics

Top Venues