Distributed Graph Embedding with Information-Oriented Random Walks

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Distributed Graph Embedding with Information-Oriented Random Walks

28 March 2023

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Papers citing "Distributed Graph Embedding with Information-Oriented Random Walks"

19 / 19 papers shown

Title
Scalable Graph Neural Network Training: The Case for Sampling Marco Serafini Hui Guan GNN 70 26 0 05 May 2021
Marius: Learning Massive Graph Embeddings on a Single Machine J. Mohoney R. Waleffe Yiheng Xu Theodoros Rekatsinas Shivaram Venkataraman GNN 122 62 0 20 Jan 2021
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis FedML GNN 71 248 0 11 Oct 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUs Abhinav Jangda Sandeep Polisetty Arjun Guha Marco Serafini GNN 62 78 0 14 Sep 2020
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization J. Qiu Yuxiao Dong Hao Ma Jun Yu Li Chi Wang Kuansan Wang Jie Tang 56 173 0 26 Jun 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 106 114 0 02 Mar 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 106 389 0 23 Feb 2019
VERSE: Versatile Graph Embeddings from Similarity Measures Anton Tsitsulin Davide Mottin Panagiotis Karras Emmanuel Müller 58 270 0 13 Mar 2018
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba Jizhe Wang Pipei Huang Huan Zhao Zhibo Zhang Binqiang Zhao Lee 66 500 0 06 Mar 2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 89 625 0 22 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
Community Aware Random Walk for Network Embedding M. Keikha M. Rahgozar M. Asadpour 52 74 0 14 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 518 15,369 0 07 Jun 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 196 10,924 0 03 Jul 2016
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 270 9,816 0 26 Mar 2014
Recent Advances in Graph Partitioning A. Buluç Henning Meyerhenke Ilya Safro Peter Sanders Christian Schulz 70 570 0 13 Nov 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 406 33,573 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 693 31,571 0 16 Jan 2013
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 214 2,273 0 28 Jun 2011

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