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Fairness in Graph Machine Learning: Recent Advances and Future Prospectives., , , and . KDD, page 5794-5795. ACM, (2023)On Structural Explanation of Bias in Graph Neural Networks., , , , and . KDD, page 316-326. ACM, (2022)Individual Fairness for Graph Neural Networks: A Ranking based Approach., , , and . KDD, page 300-310. ACM, (2021)GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks., , , and . KDD, page 1625-1634. ACM, (2022)Graph Neural Networks with Adaptive Frequency Response Filter., , , , and . CoRR, (2021)Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network., , , , , and . IOV, volume 11894 of Lecture Notes in Computer Science, page 88-100. Springer, (2019)Few-shot Node Classification with Extremely Weak Supervision., , , , and . WSDM, page 276-284. ACM, (2023)GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction., , , , and . CIKM, page 2259-2269. ACM, (2023)FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs., , , , and . IJCAI, page 2284-2290. ijcai.org, (2022)Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US., , , , and . WWW, page 2678-2686. ACM, (2022)