Fetching the paper…
Reading the bibliography…
Knowledge graphs (KGs) comprise entities interconnected by relations of different semantic meanings.
REFORM: Error-Aware Few-Shot Knowledge Graph Completion. In CIKM (Virtual Event, Queensland, Australia). ACM, New York, NY, USA, 1979–1988
Song Wang, Xiao Huang, Chen Chen, Liang Wu, and Jundong Li. 2021b · 1988
Earlier work this paper cites.
One-Shot Relational Learning for Knowledge Graphs. In EMNLP, October 31 - November 4, 2018, Brussels, Belgium . ACL, 1980–1990
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, and William Yang Wang. 2018 · 1990
Earlier work this paper cites.
Object Classification from a Single Example Utilizing Class Relevance Metrics. In NeurIPS, December 13-18, 2004, Vancouver, British Columbia, Canada] . 449–456
Michael Fink. 2004 · 2004
Earlier work this paper cites.
One-Shot Learning of Object Categories
Li Fei-Fei, Robert Fergus, and Pietro Perona. 2006 · 2006
Earlier work this paper cites.
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
Vassilis N. Ioannidis, Da Zheng, and George Karypis. 2020 · 2007
Earlier work this paper cites.
Zero-data Learning of New Tasks. In AAAI, July 13-17, 2008, Chicago, Illinois, USA . AAAI Press, 646–651
Hugo Larochelle, Dumitru Erhan, and Yoshua Bengio. 2008 · 2008
Earlier work this paper cites.
Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 20-25 June 2009, Miami, Florida, USA . IEEE Computer Society, 951–958
Christoph H. Lampert, Hannes Nickisch, and Stefan Harmeling. 2009 · 2009
Earlier work this paper cites.
Zero-shot Learning with Semantic Output Codes. In NeurIPS, 7-10 December 2009, Vancouver, British Columbia, Canada . Curran Associates, Inc., 1410–1418
Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, and Tom M. Mitchell. 2009 · 2009
Earlier work this paper cites.
A Three-Way Model for Collective Learning on Multi-Relational Data. In ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011 . Omnipress, 809–816
Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2011 · 2011
Earlier work this paper cites.
Representing Text for Joint Embedding of Text and Knowledge Bases. In EMNLP 2015, Lisbon, Portugal, September 17-21, 2015 . The ACL, 1499–1509
Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, and Michael Gamon. 2015 · 2015
Earlier work this paper cites.
Matching Networks for One Shot Learning. In NeurIPS, December 5-10, 2016, Barcelona, Spain . 3630–3638
Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, and Daan Wierstra. 2016 · 2016
Earlier work this paper cites.
Representation Learning of Knowledge Graphs with Entity Descriptions. In AAAI 2016, February 12-17, 2016, Phoenix, Arizona, USA . AAAI Press, 2659–2665
Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, and Maosong Sun. 2016 · 2016
Earlier work this paper cites.
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach. In IJCAI 2017, Melbourne, Australia, August 19-25, 2017 . ijcai.org, 1802–1808
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, and Yuji Matsumoto. 2017 · 2017
Earlier work this paper cites.
Knowledge Graph Embedding: A Survey of Approaches and Applications
Quan Wang, Zhendong Mao, Bin Wang, and Li Guo. 2017 · 2017
Earlier work this paper cites.
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. In EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017 . ACL, 564–573
Wenhan Xiong, Thien Hoang, and William Yang Wang. 2017 · 2017
Earlier work this paper cites.
Differentiable Learning of Logical Rules for Knowledge Base Reasoning. In NeurIPS, December 4-9, 2017, Long Beach, CA, USA . 2319–2328
Fan Yang, Zhilin Yang, and William W. Cohen. 2017 · 2017
Earlier work this paper cites.
Zero-Shot Embedding for Unseen Entities in Knowledge Graph
Yu Zhao, Sheng Gao, Patrick Gallinari, and Jun Guo. 2017 · 2017
Earlier work this paper cites.
Convolutional 2D Knowledge Graph Embeddings. In AAAI 2018, New Orleans, Louisiana, USA, February 2-7, 2018 . AAAI Press, 1811–1818
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
Earlier work this paper cites.
Open-World Knowledge Graph Completion. In AAAI 2018 (New Orleans, Louisiana, USA). AAAI Press, Article 238, 8 pages
Baoxu Shi and Tim Weninger. 2018 · 2018
Earlier work this paper cites.
Diverse Few-Shot Text Classification with Multiple Metrics. In NAACL-HLT, June 1-6, 2018, New Orleans, Louisiana, USA, Volume 1 (Long Papers) . ACL, 1206–1215
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, and Bowen Zhou. 2018 · 2018
Earlier work this paper cites.
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. In EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019 . ACL, 4216–4225
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, and Huajun Chen. 2019 · 2019
Earlier work this paper cites.
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. In EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019 . ACL, 3374–3379
Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, and Zhiyuan Liu. 2019 · 2019
Earlier work this paper cites.
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. In NeurIPS, December 8-14, 2019, Vancouver, BC, Canada . 15321–15331
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, and Daisy Zhe Wang. 2019 · 2019
Earlier work this paper cites.
An Open-World Extension to Knowledge Graph Completion Models. In AAAI 2019 (Honolulu, Hawaii, USA). AAAI Press, Article 374, 8 pages
Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, and Faisal Shafait. 2019 · 2019
Earlier work this paper cites.
Relation Prediction for Unseen-Entities Using Entity-Word Graphs. In TextGraphs@EMNLP 2019, Hong Kong, November 4, 2019 . ACL, 11–16
Yuki Tagawa, Motoki Taniguchi, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma, Takayuki Yamamoto, and Keiichi Nemoto. 2019 · 2019
Earlier work this paper cites.
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. In AAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019 . AAAI Press, 7152–7159
Peifeng Wang, Jialong Han, Chenliang Li, and Rong Pan. 2019a · 2019
Earlier work this paper cites.
A Survey of Zero-Shot Learning: Settings, Methods, and Applications
Wei Wang, Vincent W. Zheng, Han Yu, and Chunyan Miao. 2019c · 2019
Earlier work this paper cites.
Out-of-Sample Representation Learning for Knowledge Graphs. In EMNLP 2020, Online Event, 16-20 November 2020 (Findings of ACL, Vol. EMNLP 2020) . ACL, 2657–2666
Marjan Albooyeh, Rishab Goel, and Seyed Mehran Kazemi. 2020 · 2020
Earlier work this paper cites.
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. In NeurIPS 2020, December 6-12, 2020, Virtual
Jinheon Baek, Dong Bok Lee, and Sung Ju Hwang. 2020 · 2020
Earlier work this paper cites.
Explainable Link Prediction for Emerging Entities in Knowledge Graphs. In ISWC 2020, Athens, Greece, November 2-6, 2020, Proc., Part I (LNCS, Vol. 12506) . Springer, 39–55
Rajarshi Bhowmik and Gerard de Melo. 2020 · 2020
Earlier work this paper cites.
Knowledge Transfer for Out-of-Knowledge-Base Entities: Improving Graph-Neural-Network-Based Embedding Using Convolutional Layers
Zhongqin Bi, Tianchen Zhang, Ping Zhou, and Yongbin Li. 2020 · 2020
Earlier work this paper cites.
Knowledge Graph Completion: A Review
Zhe Chen, Yuehan Wang, Bin Zhao, Jing Cheng, Xin Zhao, and Zongtao Duan. 2020 · 2020
Earlier work this paper cites.
A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks
Yuanfei Dai, Shiping Wang, Neal N. Xiong, and Wenzhong Guo. 2020 · 2020
Earlier work this paper cites.
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. In CIKM (Virtual Event, Ireland) (CIKM ’20) . ACM, New York, NY, USA, 505–514
Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, and Zhaochun Ren. 2020 · 2020
Earlier work this paper cites.
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
Shaoxiong Ji, Shirui Pan, E. Cambria, Pekka Marttinen, and Philip S. Yu. 2020 · 2020
Earlier work this paper cites.
A survey of embedding models of entities and relationships for knowledge graph completion. In TextGraphs . ACL, Barcelona, Spain (Online), 1–14
Dat Quoc Nguyen. 2020 · 2020
Earlier work this paper cites.
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. In AAAI 2020, New York, NY, USA, February 7-12, 2020 . AAAI Press, 8673–8680
Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, and William Yang Wang. 2020 · 2020
Earlier work this paper cites.
Relation Specific Transformations for Open World Knowledge Graph Completion. In TextGraphs . ACL, Barcelona, Spain (Online), 79–84
Haseeb Shah, Johannes Villmow, and Adrian Ulges. 2020 · 2020
Earlier work this paper cites.
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. In EMNLP . ACL, Online, 1681–1691
Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, and Hongbo Xu. 2020 · 2020
Earlier work this paper cites.
Inductive Relation Prediction by Subgraph Reasoning. In ICML 2020, 13-18 July 2020, Virtual Event (Proc. of Machine Learning Research, Vol. 119) . PMLR, 9448–9457
Komal K. Teru, Etienne G. Denis, and William L. Hamilton. 2020 · 2020
Earlier work this paper cites.
Few-Shot Knowledge Reasoning Method Based on Attention Mechanism. In ICCPR (Beijing, China) (ICCPR ’19) . ACM, New York, NY, USA, 46–51
Haocheng Xie, Aiping Li, and Yan Jia. 2020 · 2020
Earlier work this paper cites.
Few-Shot Knowledge Graph Completion. In AAAI, February 7-12, 2020, New York, NY, USA . AAAI Press, 3041–3048
Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, and Nitesh V. Chawla. 2020b · 2020
Earlier work this paper cites.
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. In EMNLP . ACL, Online, 580–585
Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, and Nitesh Chawla. 2020c · 2020
Earlier work this paper cites.
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities
Richong Zhang, Samuel Mensah, Fanshuang Kong, Zhiyuan Hu, Yongyi Mao, and Xudong Liu. 2020a · 2020
Earlier work this paper cites.
Improving Inductive Link Prediction Using Hyper-relational Facts. In ISWC 2021, Virtual Event, October 24-28, 2021, Proc. (LNCS, Vol. 12922) . Springer, 74–92
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, and Jens Lehmann. 2021 · 2021
Earlier work this paper cites.
Knowledge-aware Zero-Shot Learning: Survey and Perspective. In IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021 . ijcai.org, 4366–4373
Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, and Huajun Chen. 2021a · 2021
Earlier work this paper cites.
Knowledge-aware Zero-Shot Learning: Survey and Perspective. In IJCAI 2021 . Int. Joint Conf. on Artificial Intelligence Organization, 4366–4373
Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, and Huajun Chen. 2021b · 2021
Earlier work this paper cites.
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs. In AAAI 2021, Virtual Event, February 2-9, 2021 . AAAI Press, 6271–6278
Jiajun Chen, Huarui He, Feng Wu, and Jie Wang. 2021c · 2021
Earlier work this paper cites.
MLMLM: Link Prediction with Mean Likelihood Masked Language Model. In ACL/IJCNLP 2021, Online Event, August 1-6, 2021 (Findings of ACL, Vol. ACL/IJCNLP 2021) . ACL, 4321–4331
Louis Clouâtre, Philippe Trempe, Amal Zouaq, and Sarath Chandar. 2021 · 2021
Earlier work this paper cites.
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. In RepL4NLP@ACL-IJCNLP 2021, Online, August 6, 2021 . ACL, 83–89
Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Tianyu Liu, Zhifang Sui, and Baobao Chang. 2021 · 2021
Earlier work this paper cites.
Inductive Entity Representations from Text via Link Prediction. In WWW 2021 (Ljubljana, Slovenia). ACM, New York, NY, USA, 798–808
Daniel Daza, Michael Cochez, and Paul Groth. 2021 · 2021
Earlier work this paper cites.
Out-of-Vocabulary Entities in Link Prediction
Caglar Demir and Axel-Cyrille Ngonga Ngomo. 2021 · 2021
Cited alongside, same era.
CogKR: Cognitive Graph for Multi-hop Knowledge Reasoning
Z. Du, C. Zhou, J. Yao, T. Tu, L. Cheng, H. Yang, J. Zhou, and J. Tang. 5555 · 2021
Cited alongside, same era.
OntoZSL: Ontology-enhanced Zero-shot Learning. In WWW 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021 . ACM / IW3C2, 3325–3336
Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zhiquan Ye, Zonggang Yuan, Yantao Jia, and Huajun Chen. 2021 · 2021
Cited alongside, same era.
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. In ACL: Main Volume . ACL, Online, 2816–2822
Dora Jambor, Komal Teru, Joelle Pineau, and William L. Hamilton. 2021 · 2021
Cited alongside, same era.
MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. In SIGIR (Virtual Event, Canada) (SIGIR ’21) . ACM, New York, NY, USA, 2232–2236
Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. In EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022 . ACL, 4261–4274
Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, and Qianying Wang. 2022 · 2022
Later among the works it cites.
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts. In COLING . Int. Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2237–2246
Ran Song, Shizhu He, Suncong Zheng, Shengxiang Gao, Kang Liu, Zhengtao Yu, and Jun Zhao. 2022 · 2022
Later among the works it cites.
Exploring Relational Semantics for Inductive Knowledge Graph Completion. In AAAI 2022, Virtual Event, February 22 - March 1, 2022 . AAAI Press, 4184–4192
Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, and Ying Sha. 2022b · 2022
Later among the works it cites.
Heterogeneous representation learning and matching for few-shot relation prediction
Tao Wu, Hongyu Ma, Chao Wang, Shaojie Qiao, Liang Zhang, and Shui Yu. 2022a · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zhiyi Jiang, Jianliang Gao, and Xinqi Lv. 2021 · 2021
Cited alongside, same era.
Communicative Message Passing for Inductive Relation Reasoning. In AAAI 2021, Virtual Event, February 2-9, 2021 . AAAI Press, 4294–4302
Sijie Mai, Shuangjia Zheng, Yuedong Yang, and Haifeng Hu. 2021 · 2021
Cited alongside, same era.
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. In SIGIR 2021, Virtual Event, Canada, July 11-15, 2021 . ACM, 213–222
Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, and Luo Si. 2021 · 2021
Cited alongside, same era.
Open-world knowledge graph completion for unseen entities and relations via attentive feature aggregation
Byungkook Oh, Seungmin Seo, Jimin Hwang, Dongho Lee, and Kyong-Ho Lee. 2022 · 2021
Cited alongside, same era.
Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding. In IJCNN 2021, Shenzhen, China, July 18-22, 2021 . IEEE, 1–8
Chao Ren, Le Zhang, Lintao Fang, Tong Xu, Zhefeng Wang, Senchao Yuan, and Enhong Chen. 2021 · 2021
Cited alongside, same era.
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Andrea Rossi, Denilson Barbosa, Donatella Firmani, Antonio Matinata, and Paolo Merialdo. 2021 · 2021
Cited alongside, same era.
One-Shot Relation Learning for Knowledge Graphs via Neighborhood Aggregation and Paths Encoding
Jian Sun, Yu Zhou, and Chengqing Zong. 2021 · 2021
Cited alongside, same era.
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. In Proc. of the Web Conf. 2021 (Ljubljana, Slovenia). ACM, New York, NY, USA, 1737–1748
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, and Yi Chang. 2021e · 2021
Cited alongside, same era.
Learning Discriminative Representation for Few-Shot Knowledge Graph Completion. In ICIIP 2022, Bucharest, Romania, September 29-30, 2022 . ACM, 2:1–2:5
Yanping Wu, Ling Tian, Bei Hui, Zhaokun Wang, and Lexuan Song. 2022b · 2022
Later among the works it cites.
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs. In IJCAI 2022, Vienna, Austria, 23-29 July 2022 . ijcai.org, 2341–2347
Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, and Chaoyang Yan. 2022 · 2022
Later among the works it cites.
Cycle Representation Learning for Inductive Relation Prediction. In ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA (Proc. of Machine Learning Research, Vol. 162) . PMLR, 24895–24910
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, and Chao Chen. 2022 · 2022
Later among the works it cites.
A Few-Shot Inductive Link Prediction Model in Knowledge Graphs
Ruiting Yang, Zhongcheng Wei, Yongjian Fan, and Jijun Zhao. 2022 · 2022
Later among the works it cites.
Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective. In COLING . Int. Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2494–2503
Yuanzhou Yao, Zhao Zhang, Yongjun Xu, and Chao Li. 2022 · 2022
Later among the works it cites.
Ontology-Enhanced Prompt-Tuning for Few-Shot Learning. In WWW (Virtual Event, Lyon, France). ACM, New York, NY, USA, 778–787
Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, and Huajun Chen. 2022 · 2022
Later among the works it cites.
Fine-Grained Relational Learning for Few-Shot Knowledge Graph Completion
Xu Yuan, Qihang Lei, Shuo Yu, Chengchuan Xu, and Zhikui Chen. 2022a · 2022
Later among the works it cites.
Relational learning with hierarchical attention encoder and recoding validator for few-shot knowledge graph completion. In SAC 2022, Virtual Event, April 25 - 29, 2022 . ACM, 786–794
Xu Yuan, Chengchuan Xu, Peng Li, and Zhikui Chen. 2022b · 2022
Later among the works it cites.
A Review of Knowledge Graph Completion
Mohamad Zamini, Hassan Reza, and Minou Rabiei. 2022 · 2022
Later among the works it cites.
Inductive Relation Prediction by BERT. In AAAI 2022, Virtual Event, February 22 - March 1, 2022 . AAAI Press, 5923–5931
Hanwen Zha, Zhiyu Chen, and Xifeng Yan. 2022 · 2022
Later among the works it cites.
Few-Shot Learning on Graphs. In IJCAI 2022, Vienna, Austria, 23-29 July 2022 . ijcai.org, 5662–5669
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, and Huan Liu. 2022a · 2022
Later among the works it cites.
MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts. In ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proc., Part II (LNCS, Vol. 13714) . Springer, 172–187
Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, and Yuhui Guo. 2022b · 2022
Later among the works it cites.
Knowledge Graph Reasoning with Relational Digraph. In WWW 2022 (Virtual Event, Lyon, France). ACM, New York, NY, USA, 912–924
Yongqi Zhang and Quanming Yao. 2022 · 2022
Later among the works it cites.
Subgraph-Aware Few-Shot Inductive Link Prediction Via Meta-Learning
Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, and Yuedong Yang. 2023 · 2022
Later among the works it cites.
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. In NeurIPS
Yangze Zhou, Gitta Kutyniok, and Bruno Ribeiro. 2022 · 2022
Later among the works it cites.
FTMF: Few-shot temporal knowledge graph completion based on meta-optimization and fault-tolerant mechanism
Luyi Bai, Mingcheng Zhang, Han Zhang, and Heng Zhang. 2023 · 2023
Closest in time.
An Evaluation of Link Prediction Approaches in Few-Shot Scenarios
Rebecca Braken, Alexander Paulus, André Pomp, and Tobias Meisen. 2023 · 2023
Closest in time.
Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion
Linqin Cai, Lingjun Wang, Rongdi Yuan, and Tingjie Lai. 2023 · 2023
Closest in time.
Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey
Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Pan, Yuan He, Wen Zhang, Ian Horrocks, and Huajun Chen. 2023a · 2023
Closest in time.
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. In IJCAI 2023 . Int. Joint Conf. on Artificial Intelligence Organization, 6574–6582
Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, and Huajun Chen. 2023b · 2023
Closest in time.
Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. In IJCNN 2023, Gold Coast, Australia, June 18-23, 2023 . IEEE, 1–10
Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, and Volker Tresp. 2023 · 2023
Closest in time.
Relational Message Passing for Fully Inductive Knowledge Graph Completion. In ICDE 2023, Anaheim, CA, USA, April 3-7, 2023 . IEEE, 1221–1233
Yuxia Geng, Jiaoyan Chen, Jeff Z. Pan, Mingyang Chen, Song Jiang, Wen Zhang, and Huajun Chen. 2023 · 2023
Closest in time.
InGram: Inductive Knowledge Graph Embedding via Relation Graphs. In ICML . 18796–18809
Jaejun Lee, Chanyoung Chung, and Joyce Jiyoung Whang. 2023 · 2023
Closest in time.
Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. In ICASSP 2023 . 1–5
Jiaang Li, Quan Wang, and Zhendong Mao. 2023d · 2023
Closest in time.
TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion. In IJCNN 2023, Gold Coast, Australia, June 18-23, 2023 . IEEE, 1–8
Jindi Li, Kui Yu, Yuling Li, and Yuhong Zhang. 2023f · 2023
Closest in time.
Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding. In ACL 2023, Toronto, Canada, July 9-14, 2023 . ACL, 14273–14287
Qian Li, Shafiq Joty, Daling Wang, Shi Feng, Yifei Zhang, and Chengwei Qin. 2023b · 2023
Closest in time.
Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion
Qianyu Li, Jiale Yao, Xiaoli Tang, Han Yu, Siyu Jiang, Haizhi Yang, and Hengjie Song. 2023e · 2023
Closest in time.
Few-Shot Knowledge Graph Completion Model Based on Relation Learning
Weijun Li, Jianlai Gu, Ang Li, Yuxiao Gao, and Xinyong Zhang. 2023a · 2023
Closest in time.
A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning
Xuewei Li, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu, Hongwei Liu, Weiping Ding, and Ruiguo Yu. 2023c · 2023
Closest in time.
TransAM: Transformer appending matcher for few-shot knowledge graph completion
Yi Liang, Shuai Zhao, Bo Cheng, and Hao Yang. 2023 · 2023
Closest in time.
Semantic Interaction Matching Network for Few-Shot Knowledge Graph Completion
Pengfei Luo, Xi Zhu, Tong Xu, Yi Zheng, and Enhong Chen. 2023b · 2023
Closest in time.
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge
Haodi Ma and Daisy Zhe Wang. 2023 · 2023
Closest in time.
Locality-aware subgraphs for inductive link prediction in knowledge graphs
Hebatallah A. Mohamed, Diego Pilutti, Stuart James, Alessio Del Bue, Marcello Pelillo, and Sebastiano Vascon. 2023 · 2023
Closest in time.
Few-Shot Low-Resource Knowledge Graph Completion with Multi-View Task Representation Generation. In KDD 2023 (Long Beach, CA, USA). ACM, New York, NY, USA, 1862–1871
Shichao Pei, Ziyi Kou, Qiannan Zhang, and Xiangliang Zhang. 2023a · 2023
Closest in time.
Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation. In ACL 2023, Toronto, Canada, July 9-14, 2023 . ACL, 7252–7264
Shichao Pei, Qiannan Zhang, and Xiangliang Zhang. 2023b · 2023
Closest in time.
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion. In PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proc., Part III (LNCS, Vol. 13937) . Springer, 99–111
Qiao Qiao, Yuepei Li, Kang Zhou, and Qi Li. 2023 · 2023
Closest in time.
Graph2Feat: Inductive Link Prediction via Knowledge Distillation. In WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 . ACM, 805–812
Ahmed E. Samy, Zekarias T. Kefato, and Sarunas Girdzijauskas. 2023 · 2023
Closest in time.
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. In AAAI 2023, Washington, DC, USA, February 7-14, 2023 . AAAI Press, 6533–6540
Zhixiang Su, Di Wang, Chunyan Miao, and Lizhen Cui. 2023 · 2023
Closest in time.
Reinforcement Learning in Few-Shot Scenarios: A Survey
Zhechao Wang, Qiming Fu, Jianping Chen, Yunzhe Wang, You Lu, and Hongjie Wu. 2023 · 2023
Closest in time.
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. In ICLR
Han Wu, Jie Yin, Bala Rajaratnam, and Jianyuan Guo. 2023 · 2023
Closest in time.
Learning Query Adaptive Anchor Representation for Inductive Relation Prediction. In ACL 2023, Toronto, Canada, July 9-14, 2023 . ACL, 14041–14053
Zhiwen Xie, Yi Zhang, Jin Liu, Guangyou Zhou, and Jimmy Xiangji Huang. 2023 · 2023
Closest in time.
MASZSL: A Multi-Block Attention-Based Description Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning. In IJCNN 2023 . 1–8
Mei Yu, Pengtao Fan, Mankun Zhao, Wenbin Zhang, Yue Zhao, Ming Yang, and Jian Yu. 2023 · 2023
Closest in time.
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. In ICDE . IEEE Computer Society, Los Alamitos, CA, USA, 381–393
Y. Zhang, W. Wang, H. Yin, P. Zhao, W. Chen, and L. Zhao. 2023 · 2023
Closest in time.
BayesKGR: Bayesian Few-Shot Learning for Knowledge Graph Reasoning
Feng Zhao, Cheng Yan, Hai Jin, and Lifang He. 2023b · 2023
Closest in time.
A Comprehensive Methodology for Re-evaluation of Knowledge Graph Embedding Models. In TEXT2KG/BiKE@ESWC
Bhushan Zope, Sashikala Mishra, Sanju Mishra Tiwari, Deepali Rahul Vora, and Ketan Kotecha. 2023 · 2023
Closest in time.
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding. In NeurIPS 2021, December 6-14, 2021, virtual . 2034–2045
Shuwen Liu, Bernardo Cuenca Grau, Ian Horrocks, and Egor V. Kostylev. 2021 · 2045
Closest in time.