UltraQuery at NeurIPS 2024

Author: migalkin

README.md

@@ -13,7 +13,7 @@
 
 ![ULTRA](asset/ultra_logo.png)
 
-PyG implementation of [ULTRA], a foundation model for KG reasoning. Authored by [Michael Galkin], [Zhaocheng Zhu], and [Xinyu Yuan]. *Logo generated by DALL·E 3.*
+PyG implementation of [ULTRA] and UltraQuery, a foundation model for KG reasoning. Authored by [Michael Galkin], [Zhaocheng Zhu], and [Xinyu Yuan]. *Logo generated by DALL·E 3.*
 
 [Zhaocheng Zhu]: https://kiddozhu.github.io
 [Michael Galkin]: https://migalkin.github.io/
@@ -52,6 +52,7 @@ Table of contents:
 * [UltraQuery](#ultraquery)
 
 ## Updates
+* **Oct 1st, 2024**: UltraQuery got accepted at NeurIPS 2024!
 * **Apr 23rd, 2024**: Release of [UltraQuery](#ultraquery) for complex multi-hop logical query answering on _any_ KG (with new checkpoint and 23 datasets).
 * **Jan 15th, 2024**: Accepted at [ICLR 2024](https://openreview.net/forum?id=jVEoydFOl9)!
 * **Dec 4th, 2023**: Added a new ULTRA checkpoint `ultra_50g` pre-trained on 50 graphs. Averaged over 16 larger transductive graphs, it delivers 0.389 MRR / 0.549 Hits@10 compared to 0.329 MRR / 0.479 Hits@10 of the `ultra_3g` checkpoint. The inductive performance is still as good! Use this checkpoint for inference on larger graphs.
@@ -520,12 +521,11 @@ The main ULTRA paper:
 UltraQuery:
 
 ```bibtex
-@article{galkin2024ultraquery,
-  title={Zero-shot Logical Query Reasoning on any Knowledge Graph},,
+@inproceedings{galkin2024ultraquery,
+  title={A Foundation Model for Zero-shot Logical Query Reasoning},
   author={Mikhail Galkin and Jincheng Zhou and Bruno Ribeiro and Jian Tang and Zhaocheng Zhu},
+  booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
   year={2024},
-  eprint={2404.07198},
-  archivePrefix={arXiv},
-  primaryClass={cs.AI}
+  url={https://openreview.net/forum?id=JRSyMBBJi6}
 }
 ```