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Graph Generative Model for Benchmarking Graph Neural Networks.

, , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 40175-40198. PMLR, (2023)

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Community Extraction in Multilayer Networks with Heterogeneous Community Structure., , , and . J. Mach. Learn. Res., (2017)Community Extraction in Multilayer Networks with Heterogeneous Community Structure., , , and . CoRR, (2016)Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks., , , , , and . NeurIPS, (2022)Significance-based community detection in weighted networks., , and . J. Mach. Learn. Res., (2017)Scalable Privacy-enhanced Benchmark Graph Generative Model for Graph Convolutional Networks., , , , and . CoRR, (2022)TF-GNN: Graph Neural Networks in TensorFlow., , , , , , , , , and 14 other author(s). CoRR, (2022)Into the Unknown: Generating Geospatial Descriptions for New Environments., , , , and . ACL (Findings), page 2259-2273. Association for Computational Linguistics, (2024)Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions, , , , , and . (2024)Testing-Based Community Detection Methods for Complex Networks.. University of North Carolina, Chapel Hill, USA, (2017)base-search.net (ftcarolinadr:cdr.lib.unc.edu:rv042v45w).GraphWorld: Fake Graphs Bring Real Insights for GNNs., , , and . KDD, page 3691-3701. ACM, (2022)