Network Science and Machine Learning


Publications

Title Authors Conference / Journal
2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction. Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly UAI 2023: 507-517
Differentiable Change-point Detection With Temporal Point Processes. Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De AISTATS 2023: 6940-6955
Financial Numeric Extreme Labelling: A dataset and benchmarking. Soumya Sharma, Subhendu Khatuya, Manjunath Hegde, Afreen Shaikh, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly ACL (Findings) 2023: 3550-3561
CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials. Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly AAAI 2023: 7323-7331
Transfer Learning for Multilingual Abusive Meme Detection. Mithun Das, Animesh Mukherjee WebSci 2023: 245-250
Diversity matters: Robustness of bias measurements in Wikidata. Paramita Das, Sai Keerthana Karnam, Anirban Panda, Bhanu Prakash Reddy Guda, Soumya Sarkar, Animesh Mukherjee WebSci 2023: 208-218
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi: IEEE Trans. Comput. Soc. Syst. 10(3): 1301-1313 (2023)
HateProof: Are Hateful Meme Detection Systems really Robust? Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee WWW 2023: 3734-3743
Offsetting Unequal Competition Through RL-Assisted Incentive Schemes. Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly IEEE Trans. Comput. Soc. Syst. 10(1): 285-296 (2023)
2022
A Generative Approach for Financial Causality Extraction. Tapas Nayak, Soumya Sharma, Yash Butala, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly WWW (Companion Volume) 2022: 576-578
FinRED: A Dataset for Relation Extraction in Financial Domain. Soumya Sharma, Tapas Nayak, Arusarka Bose, Ajay Kumar Meena, Koustuv Dasgupta, Niloy Ganguly, Pawan Goyal WWW (Companion Volume) 2022: 595-597
Quality Change: Norm or Exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. Paramita Das, Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee Proc. ACM Hum. Comput. Interact. 6(CSCW1): 112:1-112:36 (2022)
Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction. Rima Hazra, Arpit Dwivedi, Animesh Mukherjee ECML/PKDD (6) 2022: 236-252
Placing (Historical) Facts on a Timeline: A Classification Cum Coref Resolution Approach. Sayantan Adak, Altaf Ahmad, Aditya Basu, Animesh Mukherjee ECML/PKDD (6) 2022: 335-352
(Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India. Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee SocInfo 2022: 347-369
Decoding Demographic un-fairness from Indian Names. Medidoddi Vahini, Jalend Bantupalli, Souvic Chakraborty, Animesh Mukherjee SocInfo 2022: 472-489
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. 13(6): 103:1-103:26 (2022)
Modeling Signed Networks as 2-Layer Growing Networks. Pradumn Kumar Pandey, Bibhas Adhikari, Mainak Mazumdar, Niloy Ganguly IEEE Trans. Knowl. Data Eng. 34(7): 3377-3390 (2022)
Toward Fair Recommendation in Two-sided Platforms. Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty ACM Trans. Web 16(2): 8:1-8:34 (2022)
An Application to Generate Style Guided Compatible Outfit. Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad, Arnab Bhattacharya, Niloy Ganguly, Muthusamy Chelliah, Suyash Agarwal COMAD/CODS 2022: 260-264
Recommendation of Compatible Outfits Conditioned on Style. Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly, Arnab Bhattacharya ECIR (1) 2022: 35-50
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly WWW 2022: 2646-2656
Platform Governance: Past, Present and Future. Mithun Das, Abhisek Dash, Siddharth D. Jaiswal, Binny Mathew, Punyajoy Saha, Animesh Mukherjee GetMobile Mob. Comput. Commun. 26(1): 14-20 (2022)
Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items. Siddharth D. Jaiswal, Animesh Mukherjee CHI Extended Abstracts 2022: 44:1-44:8
Two-Face: Adversarial Audit of Commercial Face Recognition Systems. Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee ICWSM 2022: 381-392
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi WWW 2022: 3695-3705
Discretization Using Combination of Heuristics for High Accuracy With Huge Noise Reduction. Somnath Pal, Saptarshi Ghosh, Himika Biswas, Mitesh Patwari IEEE Trans. Knowl. Data Eng. 34(4): 1710-1722 (2022)
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 15(6): 99:1-99:25 (2021)
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis, and Recommendation. Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly ACM Trans. Web 15(2): 9:1-9:25 (2021)
Graph-based semi-supervised learning through the lens of safety. Shreyas Sheshadri, Avirup Saha, Priyank Patel, Samik Datta, Niloy Ganguly UAI 2021: 1576-1586
Constant community identification in million scale networks using image thresholding algorithms. Anjan Chowdhury, Sriram Srinivasan, Sanjukta Bhowmick, Animesh Mukherjee, Kuntal Ghosh ASONAM 2021: 116-120
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi FAccT 2021: 873-884
Learning Temporal Point Processes with Intermittent Observations. Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De AISTATS 2021: 3790-3798
Finding High-Value Training Data Subset Through Differentiable Convex Programming. Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya ECML/PKDD (2) 2021: 666-681