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Knowledge Graph Foundation Models (KGFMs) have shown promise in enabling zero-shot reasoning over unseen graphs by learning transferable patterns.
Rotate: Knowledge graph embedding by relational rotation in complex space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019 · 1902
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 1908
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Kg-bert: Bert for knowledge graph completion
Liang Yao, Chengsheng Mao, and Yuan Luo. 2019 · 1909
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Commonsense knowledge base completion with structural and semantic context
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, and Yejin Choi. 2019 · 1910
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Inductive relation prediction by subgraph reasoning
Komal K. Teru, Etienne Denis, and William L. Hamilton. 2020 · 1911
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Codex: A comprehensive knowledge graph completion benchmark
Tara Safavi and Danai Koutra. 2020 · 2009
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Dynamic anticipation and completion for multi-hop reasoning over sparse knowledge graph
Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong, and Suhui Wu. 2020 · 2010
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Wikidata: a free collaborative knowledgebase
Denny Vrandecic and Markus Krötzsch. 2014 · 2014
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Yago3: A knowledge base from multilingual wikipedias
Farzaneh Mahdisoltani, Joanna Asia Biega, and Fabian M. Suchanek. 2015 · 2015
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Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen. 2015 · 2015
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Are names meaningful? quantifying social meaning on the semantic web
Steven de Rooij, Wouter Beek, Peter Bloem, Frank van Harmelen, and Stefan Schlobach. 2016 · 2016
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2016
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Systematic integration of biomedical knowledge prioritizes drugs for repurposing
Daniel Scott Himmelstein, Antoine Lizee, Christine Hessler, Leo Brueggeman, Sabrina L Chen, Dexter Hadley, Ari Green, Pouya Khankhanian, and Sergio E Baranzini. 2017 · 2017
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Evaluating text coherence based on semantic similarity graph
Jan Wira Gotama Putra and Takenobu Tokunaga. 2017 · 2017
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DeepPath: A reinforcement learning method for knowledge graph reasoning
Wenhan Xiong, Thien Hoang, and William Yang Wang. 2017 · 2017
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Convolutional 2d knowledge graph embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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Improving knowledge graph embedding using simple constraints
Boyang Ding, Quan Wang, Bin Wang, and Li Guo. 2018 · 2018
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Knowledge base completion with out-of-knowledge-base entities: A graph neural network approach
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, and Yuji Matsumoto. 2018 · 2018
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End-to-end neural entity linking
Nikolaos Kolitsas, Octavian-Eugen Ganea, and Thomas Hofmann. 2018 · 2018
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SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson. 2018 · 2018
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
Cited alongside, same era.
Beta embeddings for multi-hop logical reasoning in knowledge graphs
Hongyu Ren and Jure Leskovec. 2020 · 2020
Cited alongside, same era.
Yihong Chen, Pasquale Minervini, Sebastian Riedel, and Pontus Stenetorp. 2021 · 2021
Cited alongside, same era.
Inductive entity representations from text via link prediction
Daniel Daza, Michael Cochez, and Paul Groth. 2021 · 2021
Cited alongside, same era.
Knowledge graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D’amato, Gerard De Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, and Antoine Zimmermann. 2021 · 2021
Cited alongside, same era.
A survey on temporal knowledge graph: Representation learning and applications
Li Cai, Xin Mao, Yuhao Zhou, Zhaoguang Long, Changxu Wu, and Man Lan. 2024 · 2024
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zrllm: Zero-shot relational learning on temporal knowledge graphs with large language models
Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, and Volker Tresp. 2024 · 2024
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Zero-shot link prediction in knowledge graphs with large language models
Mingchen Li, Chen Ling, Rui Zhang, and Liang Zhao. 2024b · 2024
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Position: graph foundation models are already here
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, and Jiliang Tang. 2024 · 2024
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OpenAI, :, Aaron Hurst, Adam Lerer, Adam P. Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrowand, et al. 2024 · 2024
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Fusing context into knowledge graph for commonsense question answering
Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, and Xuedong Huang. 2021 · 2021
Cited alongside, same era.
Labeling trick: a theory of using graph neural networks for multi-node representation learning
Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, and Long Jin. 2021 · 2021
Cited alongside, same era.
Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs
Yu Zhao, Zhiquan Li, Wei Deng, Ruobing Xie, and Qing Li. 2021 · 2021
Cited alongside, same era.
Challenging the assumption of structure-based embeddings in few- and zero-shot knowledge graph completion
Filip Cornell, Chenda Zhang, Jussi Karlgren, and Sarunas Girdzijauskas. 2022 · 2022
Cited alongside, same era.
An open challenge for inductive link prediction on knowledge graphs
Mikhail Galkin, Max Berrendorf, and Charles Tapley Hoyt. 2022 · 2022
Cited alongside, same era.
A survey on knowledge graphs: Representation, acquisition, and applications
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and Philip S. Yu. 2022 · 2022
Cited alongside, same era.
StATIK: Structure and text for inductive knowledge graph completion
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, and Greg Ver Steeg. 2022 · 2022
Cited alongside, same era.
Later among the works it cites.
Towards better benchmark datasets for inductive knowledge graph completion
Harry Shomer, Jay Revolinsky, and Jiliang Tang. 2024 · 2024
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jina-embeddings-v3: Multilingual embeddings with task lora
Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, Michael Günther, Bo Wang, Markus Krimmel, Feng Wang, Georgios Mastrapas, Andreas Koukounas, Nan Wang, and Han Xiao. 2024 · 2024
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LLM as prompter: Low-resource inductive reasoning on arbitrary knowledge graphs
Kai Wang, Yuwei Xu, Zhiyong Wu, and Siqiang Luo. 2024 · 2024
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DeepSeek-AI, Aixin Liu, Bei Feng, et al. 2025 · 2025
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Is complex query answering really complex?
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How expressive are knowledge graph foundation models?
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The geometry of categorical and hierarchical concepts in large language models
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Relation-aware graph foundation model
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Knowledge graph completion with relation-aware anchor enhancement
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A survey of large language models
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Double equivariance for inductive link prediction for both new nodes and new relation types
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Indigo: Gnn-based inductive knowledge graph completion using pair-wise encoding
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