NodePiece: Compositional and Parameter-Efficient Representations of
Large Knowledge Graphs

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

23 June 2021

William L. Hamilton

Papers citing "NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs"

18 / 18 papers shown

Title
Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs Jong Ho Jhee Alberto Megina Pacôme Constant Dit Beaufils Matilde Karakachoff Richard Redon Alban Gaignard Adrien Coulet 55 0 0 28 Feb 2025
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings Ioannis Reklos Jacopo de Berardinis Elena Simperl Albert Meroño-Peñuela 156 0 0 31 Jan 2025
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models J. Sardina John D. Kelleher Declan O’Sullivan 18 0 0 08 Feb 2024
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation Jiaang Li Quan Wang Yi Liu L. Zhang Zhendong Mao 29 0 0 24 Oct 2023
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings M. Devarakonda Smita Mohanty Raja Rao Sunkishala Nag Mallampalli Xiong Liu 26 4 0 27 Sep 2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases Hongyu Ren Mikhail Galkin Michael Cochez Zhaocheng Zhu J. Leskovec NAI GNN 41 35 0 26 Mar 2023
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding Borui Cai Yong Xiang Longxiang Gao Di Wu Heng Zhang Jiongdao Jin Tom H. Luan 26 1 0 22 Mar 2023
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs Mingyang Chen Wen Zhang Yuxia Geng Zezhong Xu Jeff Z. Pan Hua-zeng Chen 24 18 0 03 Feb 2023
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal K. Liang Lingyuan Meng Meng Liu Yue Liu Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu Fu Sun LRM 26 108 0 12 Dec 2022
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph Hongzhu Li Xiang Gao Linhui Feng Yafeng Deng Yuhui Yin 16 2 0 27 May 2022
Relphormer: Relational Graph Transformer for Knowledge Graph Representations Zhen Bi Shuyang Cheng Jing Chen Xiaozhuan Liang Feiyu Xiong Ningyu Zhang 34 37 0 22 May 2022
R-GCN: The R Could Stand for Random Vic Degraeve Gilles Vandewiele F. Ongenae Sofie Van Hoecke GNN 29 13 0 04 Mar 2022
An Open Challenge for Inductive Link Prediction on Knowledge Graphs Mikhail Galkin M. Berrendorf Charles Tapley Hoyt AI4CE 25 22 0 03 Mar 2022
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities Baoxin Wang Qingye Meng Ziyue Wang Honghong Zhao Dayong Wu Wanxiang Che Shijin Wang Zhigang Chen Cong Liu 35 11 0 10 Feb 2022
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Mehdi Ali M. Berrendorf Charles Tapley Hoyt Laurent Vermue Sahand Sharifzadeh Volker Tresp Jens Lehmann 39 142 0 28 Jul 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 246 4,489 0 23 Jan 2020