FGU is a shard-based graph unlearning framework with a local fairness regularizer plus a global disparity alignment step, reporting lower demographic parity and equal opportunity gaps than existing graph unlearning baselines.
Inductive rep- resentation learning on large graphs,
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Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
FGU is a shard-based graph unlearning framework with a local fairness regularizer plus a global disparity alignment step, reporting lower demographic parity and equal opportunity gaps than existing graph unlearning baselines.