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"

14 / 14 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 48 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 100 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 11 0 0 08 Feb 2024
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings M. Devarakonda Smita Mohanty Raja Rao Sunkishala Nag Mallampalli Xiong Liu 21 4 0 27 Sep 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 21 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 19 18 0 03 Feb 2023
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph Hongzhu Li Xiang Gao Linhui Feng Yafeng Deng Yuhui Yin 11 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 24 37 0 22 May 2022
R-GCN: The R Could Stand for Random Vic Degraeve Gilles Vandewiele F. Ongenae Sofie Van Hoecke GNN 21 13 0 04 Mar 2022
An Open Challenge for Inductive Link Prediction on Knowledge Graphs Mikhail Galkin M. Berrendorf Charles Tapley Hoyt AI4CE 18 22 0 03 Mar 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 31 142 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 241 1,444 0 18 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 169 1,933 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 226 4,424 0 23 Jan 2020