2 papers
cs.SI2026
HyDRA: Lossless Hypergraph Summarization via Co-Clustering
Giulia Preti, Aris Anagnostopoulos, Francesco Bonchi
Hypergraphs are a powerful representation for higher-order interactions but their scale and complexity pose significant data management and analysis challenges. While summarization…
cs.LG2025
Finding Counterfactual Evidences for Node Classification
Dazhuo Qiu, Jinwen Chen, Arijit Khan +2
Counterfactual learning is emerging as an important paradigm, rooted in causality, which promises to alleviate common issues of graph neural networks (GNNs), such as fairness and i…