{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T16:48:44Z","timestamp":1755794924120,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","funder":[{"name":"US Department of Commerce"},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100019827","name":"Meta","doi-asserted-by":"publisher","id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100019827","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100004938","name":"Michigan Department of Agriculture and Rural Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100004938","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Amazon"},{"name":"Gates Foundation"},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100018569","name":"Snap","doi-asserted-by":"publisher","id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100018569","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS2321416, IIS2212032, IIS2212144, IOS2107215, DUE2234015, CNS2246050, DRL2405483, IOS2035472"],"award-info":[{"award-number":["CNS2321416, IIS2212032, IIS2212144, IOS2107215, DUE2234015, CNS2246050, DRL2405483, IOS2035472"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,8,3]]},"DOI":"10.1145\/3711896.3737438","type":"proceedings-article","created":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T21:04:26Z","timestamp":1754255066000},"page":"5777-5788","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5081-1870","authenticated-orcid":false,"given":"Harry","family":"Shomer","sequence":"first","affiliation":[{"name":"Michigan State University, East Lansing, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4048-1717","authenticated-orcid":false,"given":"Jay","family":"Revolinsky","sequence":"additional","affiliation":[{"name":"Michigan State University, East Lansing, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7125-3898","authenticated-orcid":false,"given":"Jiliang","family":"Tang","sequence":"additional","affiliation":[{"name":"Michigan State University, East Lansing, MI, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,8,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3380599"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2006.44"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"e_1_3_2_1_4_1","volume-title":"Translating embeddings for modeling multi-relational data. Advances in neural information processing systems","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems, Vol. 26 (2013)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-01960-3"},{"key":"e_1_3_2_1_6_1","volume-title":"3rd Conference on Automated Knowledge Base Construction.","author":"Chen Yihong","year":"2021","unstructured":"Yihong Chen, Pasquale Minervini, Sebastian Riedel, and Pontus Stenetorp. 2021. Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. In 3rd Conference on Automated Knowledge Base Construction."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0708838104"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450141"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1011"},{"volume-title":"Fast Graph Representation Learning with PyTorch Geometric. In ICLR Workshop on Representation Learning on Graphs and Manifolds.","author":"Fey Matthias","key":"e_1_3_2_1_11_1","unstructured":"Matthias Fey and Jan E. Lenssen. 2019. Fast Graph Representation Learning with PyTorch Geometric. In ICLR Workshop on Representation Learning on Graphs and Manifolds."},{"key":"e_1_3_2_1_12_1","unstructured":"Mikhail Galkin Max Berrendorf and Charles Tapley Hoyt. 2022. An open challenge for inductive link prediction on knowledge graphs. arXiv preprint arXiv:2203.01520(2022)."},{"key":"e_1_3_2_1_13_1","volume-title":"NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. In International Conference on Learning Representations.","author":"Galkin Mikhail","year":"2021","unstructured":"Mikhail Galkin, Etienne Denis, Jiapeng Wu, and William L Hamilton. 2021. NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_14_1","volume-title":"Towards Foundation Models for Knowledge Graph Reasoning. In The Twelfth International Conference on Learning Representations.","author":"Galkin Mikhail","year":"2023","unstructured":"Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, and Zhaocheng Zhu. 2023. Towards Foundation Models for Knowledge Graph Reasoning. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_15_1","unstructured":"Jianfei Gao Yangze Zhou Jincheng Zhou and Bruno Ribeiro. 2023. Double equivariance for inductive link prediction for both new nodes and new relation types. arXiv preprint arXiv:2302.01313(2023)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00098"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3579051.3579066"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.26726"},{"key":"e_1_3_2_1_19_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Huang Xingyue","year":"2024","unstructured":"Xingyue Huang, Miguel Romero, Ismail Ceylan, and Pablo Barcel\u00f3. 2024. A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_20_1","volume-title":"International Conference on Machine Learning. PMLR","author":"Lee Jaejun","year":"2023","unstructured":"Jaejun Lee, Chanyoung Chung, and Joyce Jiyoung Whang. 2023. InGram: Inductive knowledge graph embedding via relation graphs. In International Conference on Machine Learning. PMLR, 18796-18809."},{"key":"e_1_3_2_1_21_1","first-page":"2034","article-title":"Indigo: Gnn-based inductive knowledge graph completion using pair-wise encoding","volume":"34","author":"Liu Shuwen","year":"2021","unstructured":"Shuwen Liu, Bernardo Grau, Ian Horrocks, and Egor Kostylev. 2021. Indigo: Gnn-based inductive knowledge graph completion using pair-wise encoding. Advances in Neural Information Processing Systems, Vol. 34 (2021), 2034-2045.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_22_1","unstructured":"Farzaneh Mahdisoltani Joanna Biega and Fabian M Suchanek. 2013. Yago3: A knowledge base from multilingual wikipedias. In CIDR."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16554"},{"key":"e_1_3_2_1_24_1","unstructured":"Lawrence Page Sergey Brin Rajeev Motwani and Terry Winograd. 1999. The PageRank citation ranking: Bringing order to the web. Technical Report. Stanford InfoLab."},{"volume-title":"PyTorch: An Imperative Style","author":"Paszke Adam","key":"e_1_3_2_1_25_1","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems 32, H. Wallach, H. Larochelle, A. Beygelzimer, F. dtextquotesingle Alch\u00e9-Buc, E. Fox, and R. Garnett(Eds.). Curran Associates, Inc., 8024-8035."},{"key":"e_1_3_2_1_26_1","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Sadeghian Ali","year":"2019","unstructured":"Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, and Daisy Zhe Wang. 2019. Drum: End-to-end differentiable rule mining on knowledge graphs. Advances in Neural Information Processing Systems, Vol. 32 (2019)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.669"},{"key":"e_1_3_2_1_28_1","volume-title":"Ivan Titov, and Max Welling.","author":"Schlichtkrull Michael","year":"2018","unstructured":"Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling. 2018. Modeling relational data with graph convolutional networks. In European semantic web conference. Springer, 593-607."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583544"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.908"},{"key":"e_1_3_2_1_32_1","volume-title":"International Conference on Learning Representations.","author":"Sun Zhiqing","year":"2019","unstructured":"Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_33_1","volume-title":"International Conference on Machine Learning. PMLR, 9448-9457","author":"Teru Komal","year":"2020","unstructured":"Komal Teru, Etienne Denis, and Will Hamilton. 2020. Inductive relation prediction by subgraph reasoning. In International Conference on Machine Learning. PMLR, 9448-9457."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4007"},{"key":"e_1_3_2_1_35_1","volume-title":"International conference on machine learning. PMLR","author":"Trouillon Th\u00e9o","year":"2016","unstructured":"Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. In International conference on machine learning. PMLR, 2071-2080."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450133"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1060"},{"key":"e_1_3_2_1_38_1","unstructured":"Xiaohan Xu Peng Zhang Yongquan He Chengpeng Chao and Chaoyang Yan. 2022. Subgraph neighboring relations infomax for inductive link prediction on knowledge graphs. arXiv preprint arXiv:2208.00850(2022)."},{"key":"e_1_3_2_1_39_1","volume-title":"Differentiable learning of logical rules for knowledge base reasoning. Advances in neural information processing systems","author":"Yang Fan","year":"2017","unstructured":"Fan Yang, Zhilin Yang, and William W Cohen. 2017. Differentiable learning of logical rules for knowledge base reasoning. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_40_1","volume-title":"Toward better drug discovery with knowledge graph. Current opinion in structural biology","author":"Zeng Xiangxiang","year":"2022","unstructured":"Xiangxiang Zeng, Xinqi Tu, Yuansheng Liu, Xiangzheng Fu, and Yansen Su. 2022. Toward better drug discovery with knowledge graph. Current opinion in structural biology, Vol. 72 (2022), 114-126."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512008"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Yongqi Zhang Zhanke Zhou Quanming Yao Xiaowen Chu and Bo Han. 2023. AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. In KDD.","DOI":"10.1145\/3580305.3599404"},{"key":"e_1_3_2_1_43_1","first-page":"59323","article-title":"A* net: A scalable path-based reasoning approach for knowledge graphs","volume":"36","author":"Zhu Zhaocheng","year":"2023","unstructured":"Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang, Maxime Gazeau, and Jian Tang. 2023. A* net: A scalable path-based reasoning approach for knowledge graphs. Advances in Neural Information Processing Systems, Vol. 36 (2023), 59323-59336.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_44_1","first-page":"29476","article-title":"Neural bellman-ford networks: A general graph neural network framework for link prediction","volume":"34","author":"Zhu Zhaocheng","year":"2021","unstructured":"Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, and Jian Tang. 2021. Neural bellman-ford networks: A general graph neural network framework for link prediction. Advances in Neural Information Processing Systems, Vol. 34 (2021), 29476-29490.","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Toronto ON Canada","acronym":"KDD '25"},"container-title":["Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3711896.3737438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,16]],"date-time":"2025-08-16T14:43:20Z","timestamp":1755355400000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3711896.3737438"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,3]]},"references-count":44,"alternative-id":["10.1145\/3711896.3737438","10.1145\/3711896"],"URL":"https:\/\/doi.org\/10.1145\/3711896.3737438","relation":{},"subject":[],"published":{"date-parts":[[2025,8,3]]},"assertion":[{"value":"2025-08-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}