{"id":"2511.06568","title":"Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity","url":"https://codeofpaper.com/paper/2511.06568","arxiv_url":"https://arxiv.org/abs/2511.06568","published":"2025-11-09","code":"community","best":{"full_name":"joaopedromattos/MORAL","url":"https://github.com/joaopedromattos/MORAL","tier":"high_confidence_community","stars":5,"license":null,"framework":null,"language":"Python","last_commit":"2026-03-05T16:36:55"},"most_starred_community":null,"implementations":[{"full_name":"joaopedromattos/MORAL","url":"https://github.com/joaopedromattos/MORAL","tier":"high_confidence_community","stars":5,"license":null,"framework":null,"language":"Python","last_commit":"2026-03-05T16:36:55"}],"possible_matches":0}