Event Detection on Dynamic Graphs. - Mert Kosan; Arlei Silva; Sourav Medya; Brian Uzzi; Ambuj K. Singh (CoRR, 2021)

Feature-based Individual Fairness in k-clustering. - Debajyoti Kar; Mert Kosan; Debmalya Mandal; Sourav Medya; Arlei Silva; Palash Dey; Swagato Sanyal (AAMAS, 2023)

AI Decision Systems with Feedback Loop Active Learner. - Mert Kosan; Linyun He; Shubham Agrawal; Hongyi Liu; Chiranjeet Chetia (CSW@WSDM, 2023)

Global Counterfactual Explainer for Graph Neural Networks. - Zexi Huang; Mert Kosan; Sourav Medya; Sayan Ranu; Ambuj K. Singh (WSDM, 2023)

Link Prediction without Graph Neural Networks. - Zexi Huang; Mert Kosan; Arlei Silva; Ambuj K. Singh (CoRR, 2023)

Robust Ante-hoc Graph Explainer using Bilevel Optimization. - Mert Kosan; Arlei Silva; Ambuj K. Singh (CoRR, 2023)

Transparent Representation Learning for Graphs and Human-AI Collaboration - Mert Kosan (2023)

DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. - Aritra Bhowmick; Mert Kosan; Zexi Huang; Ambuj K. Singh; Sourav Medya (AAAI, 2024)

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. - Mert Kosan; Samidha Verma; Burouj Armgaan; Khushbu Pahwa; Ambuj K. Singh; Sourav Medya; Sayan Ranu (ICLR, 2024)

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. - Danqing Wang; Antonis Antoniades; Kha-Dinh Luong; Edwin Zhang; Mert Kosan; Jiachen Li; Ambuj K. Singh; William Yang Wang; Lei Li 005 (KDD, 2024)

Attribute-Enhanced Similarity Ranking for Sparse Link Prediction. - João Mattos; Zexi Huang; Mert Kosan; Ambuj Singh; Arlei Silva (KDD (1), 2025)