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NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

26 June 2019
J. Qiu
Yuxiao Dong
Hao Ma
Jun Yu Li
Chi Wang
Kuansan Wang
Jie Tang
ArXivPDFHTML

Papers citing "NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization"

21 / 21 papers shown
Title
A Hybrid Membership Latent Distance Model for Unsigned and Signed
  Integer Weighted Networks
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
Nikolaos Nakis
Abdulkadir Çelikkanat
Morten Mørup
36
0
0
29 Aug 2023
Accelerating Dynamic Network Embedding with Billions of Parameter
  Updates to Milliseconds
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
Haoran Deng
Yang Yang
Jiahe Li
Haoyang Cai
Shi Pu
Weihao Jiang
32
5
0
15 Jun 2023
Distributed Graph Embedding with Information-Oriented Random Walks
Distributed Graph Embedding with Information-Oriented Random Walks
Peng Fang
Arijit Khan
Siqiang Luo
Fang Wang
Dan Feng
Zhenli Li
Wei Yin
Yu Cao
GNN
18
11
0
28 Mar 2023
A Systematic Evaluation of Node Embedding Robustness
A Systematic Evaluation of Node Embedding Robustness
Alexandru Mara
Jefrey Lijffijt
Stephan Günnemann
T. D. Bie
AAML
22
0
0
16 Sep 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph
  Representations
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Nikolaos Nakis
Abdulkadir Çelikkanat
Sune Lehmann
Morten Mørup
18
7
0
12 Apr 2022
Learning Large-scale Network Embedding from Representative Subgraph
Learning Large-scale Network Embedding from Representative Subgraph
Junsheng Kong
Weizhao Li
Ben Liao
J. Qiu
Chang-Yu Hsieh
Hsieh
Yijin Cai
Jin-Hui Zhu
Shengyu Zhang
GNN
21
1
0
02 Dec 2021
Towards Improving Embedding Based Models of Social Network Alignment via
  Pseudo Anchors
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
Zihan Yan
Li Liu
Xin Li
William K. Cheung
Youmin Zhang
Qun Liu
Guoyin Wang
24
7
0
22 Nov 2021
Inferential SIR-GN: Scalable Graph Representation Learning
Inferential SIR-GN: Scalable Graph Representation Learning
Janet Layne
Edoardo Serra
GNN
18
9
0
08 Nov 2021
A Broader Picture of Random-walk Based Graph Embedding
A Broader Picture of Random-walk Based Graph Embedding
Zexi Huang
A. Silva
Ambuj K. Singh
18
49
0
24 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
44
22
0
20 Sep 2021
REFINE: Random RangE FInder for Network Embedding
REFINE: Random RangE FInder for Network Embedding
Hao Zhu
Piotr Koniusz
33
22
0
24 Aug 2021
A Survey on Role-Oriented Network Embedding
A Survey on Role-Oriented Network Embedding
Pengfei Jiao
Xuan Guo
T. Pan
Wang Zhang
Yulong Pei
GNN
21
18
0
18 Jul 2021
Multiple Kernel Representation Learning on Networks
Multiple Kernel Representation Learning on Networks
Abdulkadir Çelikkanat
Yanning Shen
Fragkiskos D. Malliaros
13
5
0
09 Jun 2021
Low-Rank Subspaces for Unsupervised Entity Linking
Low-Rank Subspaces for Unsupervised Entity Linking
Akhil Arora
Alberto García-Durán
Robert West
24
9
0
18 Apr 2021
APAN: Asynchronous Propagation Attention Network for Real-time Temporal
  Graph Embedding
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Xuhong Wang
Ding Lyu
Mengjian Li
Yang Xia
Qi Yang
...
Xinguang Wang
Ping Cui
Yupu Yang
Bowen Sun
Zhenyu Guo
GNN
29
136
0
23 Nov 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
64
932
0
17 Jun 2020
FREDE: Anytime Graph Embeddings
FREDE: Anytime Graph Embeddings
Anton Tsitsulin
Marina Munkhoeva
Davide Mottin
Panagiotis Karras
Ivan Oseledets
Emmanuel Müller
25
34
0
08 Jun 2020
The role of exchangeability in causal inference
The role of exchangeability in causal inference
O. Saarela
D. Stephens
E. Moodie
36
5
0
02 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
285
0
07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
35
2,658
0
02 May 2020
Homogeneous Network Embedding for Massive Graphs via Reweighted
  Personalized PageRank
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank
Renchi Yang
Jieming Shi
Xiaokui Xiao
Yifan Yang
S. Bhowmick
17
65
0
17 Jun 2019
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