2 papers
cs.AI2026
Risk-Aware Adaptive Evaluation: Finding High-Impact Failures Under Limited Budgets
Priyanath Maji, Spandan Ghose Chowdhury
Evaluating interactive agents is expensive. Agent behavior is stochastic, so reliability must be measured over repeated trials, but failures are rare and differ widely in how much…
cs.LG2026
Beyond Fixed Features: Architecture-Dependent Sensitivity to Node Representations under Heterophily
Priyanath Maji, Sidharth Gaur, Rajavinoth Paul Durai
Graph Neural Networks (GNNs) perform well on homophilic graphs but struggle in heterophilic settings, where connected nodes often carry dissimilar labels. Existing evaluations typi…