4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. Wang, M., Gan, Q., Wipf, D., Zhang, Z., Faloutsos, C., Zhang, W., Zhang, M., Cai, Z., Li, J., Mao, Z., Song, Y., Tang, J., Zhang, Y., Yang, G., Lei, C., Qin, X., Li, N., Zhang, H., Wang, Y., & Zhang, Z. In Globersons, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. M., & Zhang, C., editors, Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024.
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs [link]Paper  bibtex   
@inproceedings{DBLP:conf/nips/WangGWZFZZCLMST24,
  author       = {Minjie Wang and
                  Quan Gan and
                  David Wipf and
                  Zheng Zhang and
                  Christos Faloutsos and
                  Weinan Zhang and
                  Muhan Zhang and
                  Zhenkun Cai and
                  Jiahang Li and
                  Zunyao Mao and
                  Yakun Song and
                  Jianheng Tang and
                  Yanlin Zhang and
                  Guang Yang and
                  Chuan Lei and
                  Xiao Qin and
                  Ning Li and
                  Han Zhang and
                  Yanbo Wang and
                  Zizhao Zhang},
  editor       = {Amir Globersons and
                  Lester Mackey and
                  Danielle Belgrave and
                  Angela Fan and
                  Ulrich Paquet and
                  Jakub M. Tomczak and
                  Cheng Zhang},
  title        = {4DBInfer: {A} 4D Benchmarking Toolbox for Graph-Centric Predictive
                  Modeling on RDBs},
  booktitle    = {Advances in Neural Information Processing Systems 38: Annual Conference
                  on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver,
                  BC, Canada, December 10 - 15, 2024},
  year         = {2024},
  url          = {http://papers.nips.cc/paper\_files/paper/2024/hash/2fd67447702c8eff5683dda507a1b0a2-Abstract-Datasets\_and\_Benchmarks\_Track.html},
  timestamp    = {Thu, 13 Feb 2025 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/WangGWZFZZCLMST24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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