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Extensive knowledge graphs (KGs) have been constructed to facilitate knowledge-driven tasks across various scenarios.
Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko · 2013
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Amie: Association rule mining under incomplete evidence in ontological knowledge bases
Luis Antonio Galárraga, Christina Teflioudi, Katja Hose, and Fabian M. Suchanek · 2013
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Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng · 2015
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Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen · 2015
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Yago3: A knowledge base from multilingual wikipedias
Farzaneh Mahdisoltani, Joanna Biega, and Fabian M. Suchanek · 2015
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Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Lei Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton · 2016
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Knowledge transfer for out-of-knowledge-base entities: A graph neural network approach
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, and Yuji Matsumoto · 2017
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Multilingual knowledge graph embeddings for cross-lingual knowledge alignment
Muhao Chen, Yingtao Tian, Mohan Yang, and Carlo Zaniolo · 2017
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Differentiable learning of logical rules for knowledge base reasoning
Fan Yang, Zhilin Yang, and William W. Cohen · 2017
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Deeppath: A reinforcement learning method for knowledge graph reasoning
Wenhan Xiong, Thien Hoang, and William Yang Wang · 2017
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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
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Knowledge graph embedding: A survey of approaches and applications
Quan Wang, Zhendong Mao, Bin Wang, and Li Guo · 2017
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Convolutional 2D knowledge graph embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel · 2018
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Canonical tensor decomposition for knowledge base completion
Timothée Lacroix, Nicolas Usunier, and Guillaume Obozinski · 2018
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Improving knowledge graph embedding using simple constraints
Boyang Ding, Quan Wang, Bin Wang, and Li Guo · 2018
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Bootstrapping entity alignment with knowledge graph embedding
Zequn Sun, Wei Hu, Qingheng Zhang, and Yuzhong Qu · 2018
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Cross-lingual knowledge graph alignment via graph convolutional networks
Zhichun Wang, Qingsong Lv, Xiaohan Lan, and Yu Zhang · 2018
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Improving knowledge graph embedding using simple constraints
Boyang Ding, Quan Wang, Bin Wang, and Li Guo · 2018
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Rotate: Knowledge graph embedding by relational rotation in complex space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang · 2019
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Logic attention based neighborhood aggregation for inductive knowledge graph embedding
Peifeng Wang, Jialong Han, Chenliang Li, and Rong Pan · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Deep graph infomax
Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, and R. Devon Hjelm · 2019
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Anytime bottom-up rule learning for knowledge graph completion
Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, and Heiner Stuckenschmidt · 2019
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Drum: End-to-end differentiable rule mining on knowledge graphs
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, and Daisy Zhe Wang · 2019
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Relation-aware entity alignment for heterogeneous knowledge graphs
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, and Dongyan Zhao · 2019
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Inductive relation prediction by subgraph reasoning
Komal Teru, Etienne Denis, and Will Hamilton · 2020
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Cited alongside, same era.
Composition-based multi-relational graph convolutional networks
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha P. Talukdar · 2020
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Strategies for pre-training graph neural networks
Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, and Jure Leskovec · 2020
Cited alongside, same era.
Self-supervised graph transformer on large-scale molecular data
Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, and Junzhou Huang · 2020
Cited alongside, same era.
Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization
Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, and Jian Tang · 2020
Gppt: Graph pre-training and prompt tuning to generalize graph neural networks
Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, and Xin Wang · 2022
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Prompt tuning for graph neural networks
Taoran Fang, Yunchao Zhang, Yang Yang, and Chunping Wang · 2022
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An open challenge for inductive link prediction on knowledge graphs
Mikhail Galkin, Max Berrendorf, and Charles Tapley Hoyt · 2022
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Multilingual knowledge graph completion with self-supervised adaptive graph alignment
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, and Wei Wang · 2022
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Joint completion and alignment of multilingual knowledge graphs
Soumen Chakrabarti, Harkanwar Singh, Shubham Lohiya, Prachi Jain, and Mausam · 2022
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Cited alongside, same era.
Codex: A comprehensive knowledge graph completion benchmark
Tara Safavi and Danai Koutra · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Commonsense knowledge base completion with structural and semantic context
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, and Yejin Choi · 2020
Cited alongside, same era.
A benchmarking study of embedding-based entity alignment for knowledge graphs
Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, and Chengkai Li · 2020
Cited alongside, same era.
Knowledge graph alignment network with gated multi-hop neighborhood aggregation
Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, and Yuzhong Qu · 2020
Cited alongside, same era.
Multilingual knowledge graph completion via ensemble knowledge transfer
Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, and Carlo Zaniolo · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Ingram: Inductive knowledge graph embedding via relation graphs
Jaejun Lee, Chanyoung Chung, and Joyce Jiyoung Whang · 2023
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Graph prompt learning: A comprehensive survey and beyond
Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, and Jia Li · 2023
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Adaprop: Learning adaptive propagation for graph neural network based knowledge graph reasoning
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, and Bo Han · 2023
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A theory of link prediction via relational weisfeiler-leman on knowledge graphs
Xingyue Huang, Miguel Romero, İsmail İlkan Ceylan, and Pablo Barceló · 2023
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Generalizing to unseen elements: A survey on knowledge extrapolation for knowledge graphs
Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, and Huajun Chen · 2023
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Relational message passing for fully inductive knowledge graph completion
Yuxia Geng, Jiaoyan Chen, Jeff Z. Pan, Mingyang Chen, Song Jiang, Wen Zhang, and Huajun Chen · 2023
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Double permutation equivariance for knowledge graph completion
Jianfei Gao, Yangze Zhou, and Bruno Ribeiro · 2023
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An OOD multi-task perspective for link prediction with new relation types and nodes
Jincheng Zhou, Beatrice Bevilacqua, and Bruno Ribeiro · 2023
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Joint pre-training and local re-training: Transferable representation learning on multi-source knowledge graphs
Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, and Wei Hu · 2023
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All in one: Multi-task prompting for graph neural networks
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, and Jihong Guan · 2023
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Graphprompt: Unifying pre-training and downstream tasks for graph neural networks
Zemin Liu, Xingtong Yu, Yuan Fang, and Xinming Zhang · 2023
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Prompt tuning for multi-view graph contrastive learning
Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, and Dawei Yin · 2023
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Sgl-pt: A strong graph learner with graph prompt tuning
Yun Zhu, Jianhao Guo, and Siliang Tang · 2023
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Deep prompt tuning for graph transformers
Reza Shirkavand and Heng Huang · 2023
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Ultra-dp: Ultra-unifying graph pre-training with multi-task graph dual prompt
Mouxiang Chen, Zemin Liu, Chenghao Liu, Jundong Li, Qiheng Mao, and Jianling Sun · 2023
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Hetgpt: Harnessing the power of prompt tuning in pre-trained heterogeneous graph neural networks
Yihong Ma, Ning Yan, Jiayu Li, Masood S. Mortazavi, and Nitesh V. Chawla · 2023
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Enhancing graph neural networks with structure-based prompt
Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, and Dawei Yin · 2023
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Prodigy: Enabling in-context learning over graphs
Qian Huang, Hongyu Ren, Peng Chen, Gregor Krzmanc, Daniel Zeng, Percy Liang, and Jure Leskovec · 2023
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Multilingual knowledge graph completion with language-sensitive multi-graph attention
Rongchuan Tang, Yang Zhao, Chengqing Zong, and Yu Zhou · 2023
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Structure pretraining and prompt tuning for knowledge graph transfer
Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, and Huajun Chen · 2023
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Exploring & exploiting high-order graph structure for sparse knowledge graph completion
Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, and Bing Qin · 2023
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Towards foundation models for knowledge graph reasoning
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, and Zhaocheng Zhu · 2024
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Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, and Jiliang Tang · 2024
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