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Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search., , , , , , , , and . CIKM, page 4026-4035. ACM, (2021)GENNAPE: Towards Generalized Neural Architecture Performance Estimators., , , , , , , , and . AAAI, page 9190-9199. AAAI Press, (2023)AIO-P: Expanding Neural Performance Predictors beyond Image Classification., , , , , , , , and . AAAI, page 9180-9189. AAAI Press, (2023)Generative Adversarial Neural Architecture Search., , , , , , , and . IJCAI, page 2227-2234. ijcai.org, (2021)Building Optimal Neural Architectures using Interpretable Knowledge., , , , , , , and . CoRR, (2024)L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning., , , , , , , , and . CIKM, page 1284-1293. ACM, (2021)R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning., , , , and . ICLR, OpenReview.net, (2022)EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time., , , , and . ICML, OpenReview.net, (2024)A General-Purpose Transferable Predictor for Neural Architecture Search., , , , , , , , and . SDM, page 721-729. SIAM, (2023)GOAt: Explaining Graph Neural Networks via Graph Output Attribution., , , , and . ICLR, OpenReview.net, (2024)