Local learning of item dissimilarity using content and link structure. - Abir De; Maunendra Sankar Desarkar; Niloy Ganguly; Pabitra Mitra (RecSys, 2012)

Discriminative Link Prediction Using Local Links, Node Features and Community Structure. - Abir De; Niloy Ganguly; Soumen Chakrabarti (ICDM, 2013)

Learning a Linear Influence Model from Transient Opinion Dynamics. - Abir De; Sourangshu Bhattacharya; Parantapa Bhattacharya; Niloy Ganguly; Soumen Chakrabarti (CIKM, 2014)

Knowlywood: Mining Activity Knowledge From Hollywood Narratives. - Niket Tandon; Gerard de Melo; Abir De; Gerhard Weikum (CIKM, 2015)

Lights, Camera, Action: Knowledge Extraction from Movie Scripts. - Niket Tandon; Gerhard Weikum; Gerard de Melo; Abir De (WWW (Companion Volume), 2015)

Modeling Opinion Dynamics in Diffusion Networks. - Abir De; Isabel Valera; Niloy Ganguly; Sourangshu Bhattacharya; Manuel Gomez-Rodriguez (CoRR, 2015)

Learning and Forecasting Opinion Dynamics in Social Networks. - Abir De; Isabel Valera; Niloy Ganguly; Sourangshu Bhattacharya; Manuel Gomez-Rodriguez (NIPS, 2016)

Discriminative Link Prediction using Local, Community, and Global Signals. - Abir De; Sourangshu Bhattacharya; Sourav Sarkar; Niloy Ganguly; Soumen Chakrabarti (IEEE Trans. Knowl. Data Eng., 2016)

SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. - Bhushan Kulkarni; Sumit Agarwal; Abir De; Sourangshu Bhattacharya; Niloy Ganguly (ICDM, 2017)

LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity. - Bidisha Samanta; Abir De; Abhijnan Chakraborty; Niloy Ganguly (IJCAI, 2017)

STRM: A sister tweet reinforcement process for modeling hashtag popularity. - Bidisha Samanta; Abir De; Niloy Ganguly (INFOCOM, 2017)

Cheshire: An Online Algorithm for Activity Maximization in Social Networks. - Ali Zarezade; Abir De; Hamid R. Rabiee; Manuel Gomez-Rodriguez (CoRR, 2017)

Optimizing Human Learning. - Behzad Tabibian; Utkarsh Upadhyay; Abir De; Ali Zarezade; Bernhard Schölkopf; Manuel Gomez-Rodriguez (CoRR, 2017)

Steering Social Activity: A Stochastic Optimal Control Point Of View. - Ali Zarezade; Abir De; Utkarsh Upadhyay; Hamid R. Rabiee; Manuel Gomez-Rodriguez (J. Mach. Learn. Res., 2017)

Shaping Opinion Dynamics in Social Networks. - Abir De; Sourangshu Bhattacharya; Niloy Ganguly (AAMAS, 2018)

CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion. - Avirup Saha; Bidisha Samanta; Niloy Ganguly; Abir De (CIKM, 2018)

Deep Reinforcement Learning of Marked Temporal Point Processes. - Utkarsh Upadhyay; Abir De; Manuel Gomez Rodriguez (NeurIPS, 2018)

Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks. - Abir De; Sourangshu Bhattacharya; Niloy Ganguly (WWW, 2018)

Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design. - Bidisha Samanta; Abir De; Niloy Ganguly; Manuel Gomez-Rodriguez (CoRR, 2018)

Stochastic Optimal Control of Epidemic Processes in Networks. - Lars Lorch; Abir De; Samir Bhatt; William Trouleau; Utkarsh Upadhyay; Manuel Gomez-Rodriguez (CoRR, 2018)

NeVAE: A Deep Generative Model for Molecular Graphs. - Bidisha Samanta; Abir De; Gourhari Jana; Pratim Kumar Chattaraj; Niloy Ganguly; Manuel Gomez Rodriguez (AAAI, 2019)

Learning Network Traffic Dynamics Using Temporal Point Process. - Avirup Saha; Niloy Ganguly; Sandip Chakraborty 001; Abir De (INFOCOM, 2019)

On the Complexity of Opinions and Online Discussions. - Utkarsh Upadhyay; Abir De; Aasish Pappu; Manuel Gomez-Rodriguez (WSDM, 2019)

Consequential Ranking Algorithms and Long-term Welfare. - Behzad Tabibian; Vicenç Gómez; Abir De; Bernhard Schölkopf; Manuel Gomez Rodriguez (CoRR, 2019)

Privacy Preserving Link Prediction with Latent Geometric Network Models. - Abir De; Soumen Chakrabarti (CoRR, 2019)

Can A User Anticipate What Her Followers Want? - Abir De; Adish Singla; Utkarsh Upadhyay; Manuel Gomez-Rodriguez (CoRR, 2019)

Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. - Abir De; Sourangshu Bhattacharya; Parantapa Bhattacharya; Niloy Ganguly; Soumen Chakrabarti (ACM Trans. Web, 2019)

Regression under Human Assistance. - Abir De; Paramita Koley; Niloy Ganguly; Manuel Gomez-Rodriguez (AAAI, 2020)

Deep Neural Matching Models for Graph Retrieval. - Kunal Goyal; Utkarsh Gupta; Abir De; Soumen Chakrabarti (SIGIR, 2020)

On the design of consequential ranking algorithms. - Behzad Tabibian; Vicenç Gómez; Abir De; Bernhard Schölkopf; Manuel Gomez Rodriguez (UAI, 2020)

Can A User Guess What Her Followers Want? - Abir De; Adish Singla; Utkarsh Upadhyay; Manuel Gomez-Rodriguez (WSDM, 2020)

Learning to Switch Between Machines and Humans. - Vahid Balazadeh Meresht; Abir De; Adish Singla; Manuel Gomez-Rodriguez (CoRR, 2020)

NEVAE: A Deep Generative Model for Molecular Graphs. - Bidisha Samanta; Abir De; Gourhari Jana; Vicenç Gómez; Pratim Kumar Chattaraj; Niloy Ganguly; Manuel Gomez-Rodriguez (J. Mach. Learn. Res., 2020)

Differentially Private Link Prediction with Protected Connections. - Abir De; Soumen Chakrabarti (AAAI, 2021)

Classification Under Human Assistance. - Abir De; Nastaran Okati; Ali Zarezade; Manuel Gomez Rodriguez (AAAI, 2021)

Adversarial Permutation Guided Node Representations for Link Prediction. - Indradyumna Roy; Abir De; Soumen Chakrabarti (AAAI, 2021)

Invited Tutorial: Human Assisted ML. - Abir De (AIMLSystems, 2021)

Learning Temporal Point Processes with Intermittent Observations. - Vinayak Gupta; Srikanta Bedathur; Sourangshu Bhattacharya; Abir De (AISTATS, 2021)

Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy. - Chitrank Gupta; Yash Jain; Abir De; Soumen Chakrabarti (CIKM, 2021)

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. - KrishnaTeja Killamsetty; Durga Sivasubramanian; Ganesh Ramakrishnan; Abir De; Rishabh K. Iyer (ICML, 2021)

Training Data Subset Selection for Regression with Controlled Generalization Error. - Durga Sivasubramanian; Rishabh K. Iyer; Ganesh Ramakrishnan; Abir De (ICML, 2021)

Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. - Anshul Nasery; Soumyadeep Thakur; Vihari Piratla; Abir De; Sunita Sarawagi (NeurIPS, 2021)

Differentiable Learning Under Triage. - Nastaran Okati; Abir De; Manuel Gomez-Rodriguez (NeurIPS, 2021)

Counterfactual Explanations in Sequential Decision Making Under Uncertainty. - Stratis Tsirtsis; Abir De; Manuel Gomez Rodriguez (NeurIPS, 2021)

Learning to Select Exogenous Events for Marked Temporal Point Process. - Ping Zhang; Rishabh K. Iyer; Ashish Tendulkar; Gaurav Aggarwal; Abir De (NeurIPS, 2021)

Long Horizon Forecasting with Temporal Point Processes. - Prathamesh Deshpande; Kamlesh Marathe; Abir De; Sunita Sarawagi (WSDM, 2021)

GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning. - KrishnaTeja Killamsetty; Durga Sivasubramanian; Baharan Mirzasoleiman; Ganesh Ramakrishnan; Abir De; Rishabh K. Iyer (CoRR, 2021)

Group Testing under Superspreading Dynamics. - Stratis Tsirtsis; Abir De; Lars Lorch; Manuel Gomez-Rodriguez (CoRR, 2021)

Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control. - Santanu Rathod; Manoj Bhadu; Abir De (CoRR, 2021)

Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. - Paramita Koley; Avirup Saha; Sourangshu Bhattacharya; Niloy Ganguly; Abir De (ACM Trans. Knowl. Discov. Data, 2021)

Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. - Vinayak Gupta; Srikanta Bedathur; Abir De (AAAI, 2022)

Interpretable Neural Subgraph Matching for Graph Retrieval. - Indradyumna Roy; Venkata Sai Baba Reddy Velugoti; Soumen Chakrabarti; Abir De (AAAI, 2022)

VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis. - Tathagat Verma; Abir De; Yateesh Agrawal; Vishwa Vinay; Soumen Chakrabarti (ICML, 2022)

Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection. - Abir De; Soumen Chakrabarti (NeurIPS, 2022)

Learning Recourse on Instance Environment to Enhance Prediction Accuracy. - Lokesh Nagalapatti; Guntakanti Sai Koushik; Abir De; Sunita Sarawagi (NeurIPS, 2022)

Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks. - Indradyumna Roy; Soumen Chakrabarti; Abir De (NeurIPS, 2022)

Pooled testing of traced contacts under superspreading dynamics. - Stratis Tsirtsis; Abir De; Lars Lorch; Manuel Gomez-Rodriguez (PLoS Comput. Biol., 2022)

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. - Vinayak Gupta; Srikanta Bedathur; Sourangshu Bhattacharya; Abir De (ACM Trans. Intell. Syst. Technol., 2022)

Learning to Switch Among Agents in a Team. - Vahid Balazadeh Meresht; Abir De; Adish Singla; Manuel Gomez Rodriguez (Trans. Mach. Learn. Res., 2022)

Differentiable Change-point Detection With Temporal Point Processes. - Paramita Koley; Harshavardhan Alimi; Shrey Singla; Sourangshu Bhattacharya; Niloy Ganguly; Abir De (AISTATS, 2023)

Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models. - Parth Vipul Sangani; Arjun Shashank Kashettiwar; Pritish Chakraborty; Bhuvan Reddy Gangula; Durga Sivasubramanian; Ganesh Ramakrishnan; Rishabh K. Iyer; Abir De (ICML, 2023)

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks. - Eeshaan Jain; Tushar Nandy; Gaurav Aggarwal; Ashish Tendulkar; Rishabh K. Iyer; Abir De (NeurIPS, 2023)

Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search. - Indradyumna Roy; Rishi Agarwal; Soumen Chakrabarti; Anirban Dasgupta 001; Abir De (NeurIPS, 2023)

Learning and Maximizing Influence in Social Networks Under Capacity Constraints. - Pritish Chakraborty; Sayan Ranu; Krishna Sri Ipsit Mantri; Abir De (WSDM, 2023)

Generator Assisted Mixture of Experts for Feature Acquisition in Batch. - Vedang Asgaonkar; Aditya Jain; Abir De (AAAI, 2024)

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. - Lokesh Nagalapatti; Akshay Iyer; Abir De; Sunita Sarawagi (AAAI, 2024)

Graph Edit Distance with General Costs Using Neural Set Divergence. - Eeshaan Jain; Indradyumna Roy; Saswat Meher; Soumen Chakrabarti; Abir De (NeurIPS, 2024)

Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval. - Ashwin Ramachandran; Vaibhav Raj; Indradyumna Roy; Soumen Chakrabarti; Abir De (NeurIPS, 2024)

Differentiable Adversarial Attacks for Marked Temporal Point Processes. - Pritish Chakraborty; Vinayak Gupta; Rahul R; Srikanta J. Bedathur; Abir De (AAAI, 2025)

Charting the Design Space of Neural Graph Representations for Subgraph Matching. - Vaibhav Raj; Indradyumna Roy; Ashwin Ramachandran; Soumen Chakrabarti; Abir De (ICLR, 2025)

Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations. - Indradyumna Roy; Eeshaan Jain; Soumen Chakrabarti; Abir De (ICLR, 2025)

Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing. - Vinayak Gupta; Srikanta Bedathur; Abir De (ACM Trans. Intell. Syst. Technol., 2025)