{"id":20064755,"url":"https://github.com/thinklab-sjtu/eda-ai","last_synced_at":"2025-04-12T21:24:05.213Z","repository":{"id":37278293,"uuid":"420580428","full_name":"Thinklab-SJTU/EDA-AI","owner":"Thinklab-SJTU","description":"Implementations of DeepPlace, PRNet, HubRouter, PreRoutGNN and 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Implementations of \n- NeurIPS 2021 paper \"On Joint Learning for Solving Placement and Routing in Chip Design\" (*DeepPlace*)\n- NeurIPS 2022 paper \"The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design\" (*PRNet*)\n- NeurIPS 2023 paper \"HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection\" (*HubRouter*)\n- AAAI 2024 paper \"PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling\" (*PreRoutGNN*)\n- NeurIPS 2024 paper \"FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation\" (*FlexPlanner*)\n\n# Citations\n\nIf you find our paper/code useful in your research, please citing\n```\n@article{cheng2021joint,\n  title={On Joint Learning for Solving Placement and Routing in Chip Design},\n  author={Cheng, Ruoyu and Yan, Junchi},\n  journal={Advances in Neural Information Processing Systems},\n  year={2021}\n}\n```\n\n```\n@article{cheng2022policy,\n  title={The policy-gradient placement and generative routing neural networks for chip design},\n  author={Cheng, Ruoyu and Lyu, Xianglong and Li, Yang and Ye, Junjie and Hao, Jianye and Yan, Junchi},\n  journal={Advances in Neural Information Processing Systems},\n  year={2022}\n}\n```\n\n```\n@inproceedings{du2023hubrouter,\n  title = {HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection},\n  author = {Du, Xingbo and Wang, Chonghua and Zhong, Ruizhe and Yan, Junchi},\n  booktitle = {Advances in Neural Information Processing Systems},\n  year = {2023}\n}\n```\n\n```\n@inproceedings{zhong2024preroutgnn,\n  title={PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling},\n  author={Zhong, Ruizhe and Ye, Junjie and Tang, Zhentao and Kai, Shixiong and Yuan, Mingxuan and Hao, Jianye and Yan, Junchi},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2024}\n}\n```\n\n```\n@inproceedings{zhongflexplanner,\n  title={FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation},\n  author={Zhong, Ruizhe and Du, Xingbo and Kai, Shixiong and Tang, Zhentao and Xu, Siyuan and Jianye, HAO and Yuan, Mingxuan and Yan, Junchi},\n  booktitle = {Advances in Neural Information Processing Systems},\n  year = {2024}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthinklab-sjtu%2Feda-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthinklab-sjtu%2Feda-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthinklab-sjtu%2Feda-ai/lists"}