R-GCN: The R Could Stand for Random

4 March 2022

Papers citing "R-GCN: The R Could Stand for Random"

6 / 6 papers shown

Title
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation Jiaang Li Quan Wang Yi Liu L. Zhang Zhendong Mao 16 0 0 24 Oct 2023
Weisfeiler and Leman Go Relational Pablo Barceló Mikhail Galkin Christopher Morris Miguel Romero Orth GNN 23 27 0 30 Nov 2022
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure K. Liang Yue Liu Sihang Zhou Wenxuan Tu Yi Wen Xihong Yang Xiang Dong Xinwang Liu 19 76 0 19 Nov 2022
Graph Neural Modeling of Network Flows Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi GNN 11 4 0 12 Sep 2022
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec Gilles Vandewiele Bram Steenwinckel Terencio Agozzino F. Ongenae 12 20 0 04 May 2022
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013