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Add ICCAD 2026 acceptance and DOI

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  1. README.md +17 -12
README.md CHANGED
@@ -12,6 +12,7 @@ tags:
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  - graph-neural-networks
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  - dreamplace
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  - openroad
 
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  configs:
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  - config_name: default
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  data_files:
@@ -22,9 +23,12 @@ configs:
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  # PPAPlace-5000
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  **The official training dataset for _PPAPlace: Differentiable Cross-Stage
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- Objectives for Chip Placement Optimization_ by Ruogu Chen and Jie Han.**
 
 
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- [PPAPlace code and reproduction workflow](https://github.com/ValleyC/PPAPlace)
 
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  | [Download files](https://huggingface.co/datasets/ValleyC/PPAPlace-5000/tree/main)
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  | [Citation](#citation)
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@@ -46,6 +50,8 @@ electronic design automation.
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  | Placements per circuit | **500** |
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  | Placement representation | Complete mixed-size DEF |
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  | Post-GRT targets | WNS, TNS, total power, core area |
 
 
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  | Compressed download | 9,096,824,559 bytes (**8.47 GiB**) |
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  | Certified source payload | 198,591,827,060 bytes (**184.95 GiB**) |
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@@ -237,15 +243,17 @@ using the release.
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  ## Citation
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- Please cite both the PPAPlace manuscript and this dataset:
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  ```bibtex
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- @misc{chen2026ppaplace,
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- title = {{PPAPlace}: Differentiable Cross-Stage Objectives for Chip Placement Optimization},
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- author = {Chen, Ruogu and Han, Jie},
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- year = {2026},
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- howpublished = {Manuscript},
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- url = {https://github.com/ValleyC/PPAPlace}
 
 
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  }
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  @dataset{chen2026ppaplace5000,
@@ -256,6 +264,3 @@ Please cite both the PPAPlace manuscript and this dataset:
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  url = {https://huggingface.co/datasets/ValleyC/PPAPlace-5000}
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  }
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  ```
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-
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- When a public proceedings, DOI, or preprint record becomes available, use that
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- bibliographic record for the manuscript citation.
 
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  - graph-neural-networks
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  - dreamplace
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  - openroad
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+ - iccad-2026
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  configs:
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  - config_name: default
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  data_files:
 
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  # PPAPlace-5000
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  **The official training dataset for _PPAPlace: Differentiable Cross-Stage
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+ Objectives for Chip Placement Optimization_, accepted at the 2026 IEEE/ACM
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+ International Conference on Computer-Aided Design (ICCAD 2026), by Ruogu Chen
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+ and Jie Han of the University of Alberta.**
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+ [Accepted ICCAD 2026 paper](https://doi.org/10.1145/3831252.3834172)
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+ | [PPAPlace code and reproduction workflow](https://github.com/ValleyC/PPAPlace)
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  | [Download files](https://huggingface.co/datasets/ValleyC/PPAPlace-5000/tree/main)
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  | [Citation](#citation)
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  | Placements per circuit | **500** |
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  | Placement representation | Complete mixed-size DEF |
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  | Post-GRT targets | WNS, TNS, total power, core area |
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+ | Paper | Accepted at **ICCAD 2026** |
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+ | Paper DOI | [`10.1145/3831252.3834172`](https://doi.org/10.1145/3831252.3834172) |
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  | Compressed download | 9,096,824,559 bytes (**8.47 GiB**) |
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  | Certified source payload | 198,591,827,060 bytes (**184.95 GiB**) |
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  ## Citation
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+ Please cite both the accepted ICCAD 2026 paper and this dataset:
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  ```bibtex
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+ @inproceedings{chen2026ppaplace,
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+ title = {{PPAPlace}: Differentiable Cross-Stage Objectives for Chip Placement Optimization},
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+ author = {Chen, Ruogu and Han, Jie},
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+ booktitle = {2026 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)},
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+ address = {San Jose, CA, USA},
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+ year = {2026},
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+ doi = {10.1145/3831252.3834172},
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+ url = {https://doi.org/10.1145/3831252.3834172}
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  }
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  @dataset{chen2026ppaplace5000,
 
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  url = {https://huggingface.co/datasets/ValleyC/PPAPlace-5000}
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  }
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  ```