GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding

12 October 2021

Papers citing "GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding"

6 / 6 papers shown

Title
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules Emanuele Cavalleri Alberto Cabri Mauricio Soto Gomez Sara Bonfitto P. Perlasca ... Justin P Reese Peter N. Robinson E. Casiraghi Giorgio Valentini M. Mesiti 19 2 0 30 Nov 2023
KG-Hub -- Building and Exchanging Biological Knowledge Graphs J. H. Caufield Timothy Putman Kevin Schaper Deepak R. Unni Harshad B. Hegde ... M. Haendel Peter N. Robinson marcin p. joachimiak Christopher J. Mungall Justin P Reese 26 19 0 31 Jan 2023
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
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jun Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019
Billion-scale Network Embedding with Iterative Random Projection Ziwei Zhang Peng Cui Haoyang Li Tianlin Li Wenwu Zhu 87 80 0 07 May 2018
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 302 31,280 0 16 Jan 2013