diff --git a/README.md b/README.md index 280b647a..f8994fb3 100644 --- a/README.md +++ b/README.md @@ -10,6 +10,9 @@ # ABLkit: A Toolkit for Abductive Learning +- [Documentation](https://ablkit.readthedocs.io/en/latest/index.html) +- [Read the paper](https://journal.hep.com.cn/fcs/EN/10.1007/s11704-024-40085-7) + **ABLkit** is an efficient Python toolkit for [**Abductive Learning (ABL)**](https://www.lamda.nju.edu.cn/publication/chap_ABL.pdf). ABL is a novel paradigm that integrates machine learning and logical reasoning in a unified framework. It is suitable for tasks where both data and (logical) domain knowledge are available.

@@ -182,7 +185,7 @@ bridge.test(test_data) -To explore detailed tutorials and information, please refer to - [document](https://ablkit.readthedocs.io/en/latest/index.html). +To explore detailed tutorials and information, please refer to: [Documentation on Read the Docs](https://ablkit.readthedocs.io/en/latest/index.html). ## Examples @@ -218,4 +221,20 @@ For more information about ABL, please refer to: [Zhou, 2019](http://scis.scichi address = {Amsterdam}, year = {2022} } +``` + +## Cite + +To cite ABLkit, please cite the following paper: [Huang et al., 2024](https://journal.hep.com.cn/fcs/EN/10.1007/s11704-024-40085-7). + +``` +@article{ABLkit2024, + author = {Huang, Yu-Xuan and Hu, Wen-Chao and Gao, En-Hao and Jiang, Yuan}, + title = {ABLkit: a Python toolkit for abductive learning}, + journal = {Frontiers of Computer Science}, + volume = {18}, + number = {6}, + pages = {186354}, + year = {2024} +} ``` \ No newline at end of file diff --git a/docs/References.rst b/docs/References.rst index f096c9ad..8177b0cd 100644 --- a/docs/References.rst +++ b/docs/References.rst @@ -1,6 +1,23 @@ References ========== +To cite ABLkit, please cite the following paper: + +Yu-Xuan Huang, Wen-Chao Hu, En-Hao Gao and Yuan Jiang. `ABLkit: a Python toolkit for abductive learning `. **Frontiers of Computer Science**, 2024, 18: 186354. + +.. code-block:: latex + @article{ABLkit2024, + author = {Huang, Yu-Xuan and Hu, Wen-Chao and Gao, En-Hao and Jiang, Yuan}, + title = {ABLkit: a Python toolkit for abductive learning}, + journal = {Frontiers of Computer Science}, + volume = {18}, + number = {6}, + pages = {186354}, + year = {2024} + } + +For more information about ABL, please refer to: + Zhi-Hua Zhou. `Abductive learning: Towards bridging machine learning and logical reasoning `_. **Science China Information Sciences**, 2019, 62: 076101. Zhi-Hua Zhou and Yu-Xuan Huang. `Abductive learning `_. In P. Hitzler and M. K. Sarker eds., **Neuro-Symbolic Artificial Intelligence: The State of the Art**, IOP Press, Amsterdam, 2022, p.353-379 @@ -26,4 +43,4 @@ Zhi-Hua Zhou and Yu-Xuan Huang. `Abductive learning `. + +.. code-block:: latex + @article{ABLkit2024, + author = {Huang, Yu-Xuan and Hu, Wen-Chao and Gao, En-Hao and Jiang, Yuan}, + title = {ABLkit: a Python toolkit for abductive learning}, + journal = {Frontiers of Computer Science}, + volume = {18}, + number = {6}, + pages = {186354}, + year = {2024} + } + + .. toctree:: :maxdepth: 1 :caption: Overview