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VERSE: Versatile Graph Embeddings from Similarity Measures

VERSE: Versatile Graph Embeddings from Similarity Measures

13 March 2018
Anton Tsitsulin
Davide Mottin
Panagiotis Karras
Emmanuel Müller
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Papers citing "VERSE: Versatile Graph Embeddings from Similarity Measures"

50 / 104 papers shown
Title
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
Sergei Ivanov
Liudmila Prokhorenkova
AI4CE
53
52
0
21 Jan 2021
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph
  Neural Networks
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks
Md. Khaledur Rahman
Majedul Haque Sujon
A. Azad
FedML
GNN
8
50
0
07 Nov 2020
Massively Parallel Graph Drawing and Representation Learning
Massively Parallel Graph Drawing and Representation Learning
Christian Böhm
Claudia Plant
GNN
9
2
0
06 Nov 2020
GAGE: Geometry Preserving Attributed Graph Embeddings
GAGE: Geometry Preserving Attributed Graph Embeddings
Charilaos I. Kanatsoulis
N. Sidiropoulos
22
2
0
03 Nov 2020
InstantEmbedding: Efficient Local Node Representations
InstantEmbedding: Efficient Local Node Representations
Stefan Postavaru
Anton Tsitsulin
Filipe Almeida
Yingtao Tian
Silvio Lattanzi
Bryan Perozzi
17
20
0
14 Oct 2020
UniNet: Scalable Network Representation Learning with
  Metropolis-Hastings Sampling
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling
Xingyu Yao
Yingxia Shao
Bin Cui
Lei Chen
27
9
0
10 Oct 2020
Inductive Graph Embeddings through Locality Encodings
Inductive Graph Embeddings through Locality Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
GNN
15
1
0
26 Sep 2020
Towards a Flexible Embedding Learning Framework
Towards a Flexible Embedding Learning Framework
Chin-Chia Michael Yeh
Dhruv Gelda
Zhongfang Zhuang
Yan Zheng
Liang Gou
Wei Zhang
30
61
0
23 Sep 2020
Force2Vec: Parallel force-directed graph embedding
Force2Vec: Parallel force-directed graph embedding
Md. Khaledur Rahman
Majedul Haque Sujon
A. Azad
GNN
13
18
0
17 Sep 2020
Understanding Coarsening for Embedding Large-Scale Graphs
Understanding Coarsening for Embedding Large-Scale Graphs
Taha Atahan Akyildiz
Amro Alabsi Aljundi
K. Kaya
11
4
0
10 Sep 2020
GOSH: Embedding Big Graphs on Small Hardware
GOSH: Embedding Big Graphs on Small Hardware
Taha Atahan Akyildiz
Amro Alabsi Aljundi
K. Kaya
GNN
9
17
0
27 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of
  State-of-the-Art
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
25
5
0
26 Aug 2020
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding
  approach
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach
Léo Pio-Lopez
Alberto Valdeolivas
Laurent Tichit
Élisabeth Remy
A. Baudot
6
40
0
23 Aug 2020
Adversarial Directed Graph Embedding
Adversarial Directed Graph Embedding
Shijie Zhu
Jianxin Li
Hao Peng
Senzhang Wang
Lifang He
GAN
GNN
17
43
0
09 Aug 2020
Graph Clustering with Graph Neural Networks
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNN
AI4CE
20
259
0
30 Jun 2020
SCE: Scalable Network Embedding from Sparsest Cut
SCE: Scalable Network Embedding from Sparsest Cut
Shengzhong Zhang
Zengfeng Huang
Haicang Zhou
Ziang Zhou
SSL
BDL
29
18
0
30 Jun 2020
Time-varying Graph Representation Learning via Higher-Order Skip-Gram
  with Negative Sampling
Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling
Simone Piaggesi
Andre' Panisson
6
1
0
25 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification
Class-Attentive Diffusion Network for Semi-Supervised Classification
Jongin Lim
Daeho Um
H. Chang
D. Jo
J. Choi
28
14
0
18 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
31
1,273
0
10 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
Unsupervised Hierarchical Graph Representation Learning by Mutual
  Information Maximization
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
Fei Ding
Xiaohong Zhang
Justin Sybrandt
Ilya Safro
SSL
16
6
0
18 Mar 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making
  Progress?
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?
Alexandru Mara
Jefrey Lijffijt
T. D. Bie
43
22
0
25 Feb 2020
Graph Ordering: Towards the Optimal by Learning
Graph Ordering: Towards the Optimal by Learning
Kangfei Zhao
Yu Rong
Jianwei Yu
Junzhou Huang
Hao Zhang
13
5
0
18 Jan 2020
Inductive Document Network Embedding with Topic-Word Attention
Inductive Document Network Embedding with Topic-Word Attention
Robin Brochier
Adrien Guille
Julien Velcin
10
10
0
10 Jan 2020
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A Survey
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
Philip S. Yu
GNN
21
77
0
25 Dec 2019
Bridging the Gap between Community and Node Representations: Graph
  Embedding via Community Detection
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection
A. Lutov
Dingqi Yang
Philippe Cudré-Mauroux
14
7
0
17 Dec 2019
Exponential Family Graph Embeddings
Exponential Family Graph Embeddings
Abdulkadir Çelikkanat
Fragkiskos D. Malliaros
33
13
0
20 Nov 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
53
686
0
28 Oct 2019
Overlapping Community Detection with Graph Neural Networks
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur
Stephan Günnemann
GNN
27
129
0
26 Sep 2019
Hypergraph Partitioning With Embeddings
Hypergraph Partitioning With Embeddings
Justin Sybrandt
Ruslan Shaydulin
Ilya Safro
25
10
0
09 Sep 2019
Fast and Accurate Network Embeddings via Very Sparse Random Projection
Fast and Accurate Network Embeddings via Very Sparse Random Projection
Haochen Chen
Syed Fahad Sultan
Yingtao Tian
Muhao Chen
Steven Skiena
11
86
0
30 Aug 2019
Network Embedding: on Compression and Learning
Network Embedding: on Compression and Learning
Esra Akbas
M. E. Aktas
GNN
21
9
0
05 Jul 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
J. Qiu
Yuxiao Dong
Hao Ma
Jun Yu Li
Chi Wang
Kuansan Wang
Jie Tang
16
170
0
26 Jun 2019
vGraph: A Generative Model for Joint Community Detection and Node
  Representation Learning
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun
Meng Qu
Jordan Hoffmann
Chin-Wei Huang
Jian Tang
BDL
9
91
0
18 Jun 2019
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
Higher-Order Ranking and Link Prediction: From Closing Triangles to
  Closing Higher-Order Motifs
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs
Ryan A. Rossi
Anup B. Rao
Sungchul Kim
Eunyee Koh
Nesreen Ahmed
Gang Wu
3DV
LRM
8
17
0
12 Jun 2019
An Unsupervised Framework for Comparing Graph Embeddings
An Unsupervised Framework for Comparing Graph Embeddings
B. Kamiński
P. Prałat
F. Théberge
10
15
0
29 May 2019
FOBE and HOBE: First- and High-Order Bipartite Embeddings
FOBE and HOBE: First- and High-Order Bipartite Embeddings
Justin Sybrandt
Ilya Safro
11
15
0
27 May 2019
Low-dimensional statistical manifold embedding of directed graphs
Low-dimensional statistical manifold embedding of directed graphs
Thorben Funke
Tian Guo
Alen Lancic
Nino Antulov-Fantulin
11
4
0
24 May 2019
Scalable Graph Embeddings via Sparse Transpose Proximities
Scalable Graph Embeddings via Sparse Transpose Proximities
Yuan Yin
Zhewei Wei
33
52
0
16 May 2019
Is a Single Embedding Enough? Learning Node Representations that Capture
  Multiple Social Contexts
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
Alessandro Epasto
Bryan Perozzi
22
103
0
06 May 2019
Network Representation Learning: Consolidation and Renewed Bearing
Network Representation Learning: Consolidation and Renewed Bearing
Saket Gurukar
Priyesh Vijayan
Aakash Srinivasan
Goonmeet Bajaj
Chen Cai
...
Pranav Maneriker
Anasua Mitra
Vedang Patel
Balaraman Ravindran
Srinivasan Parthasarathy
17
22
0
02 May 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
Rami Al-Rfou
Dustin Zelle
Bryan Perozzi
13
57
0
21 Apr 2019
A Comparative Study for Unsupervised Network Representation Learning
A Comparative Study for Unsupervised Network Representation Learning
Megha Khosla
Vinay Setty
Avishek Anand
SSL
26
54
0
19 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu
Shizhen Xu
Meng Qu
Jian Tang
GNN
13
112
0
02 Mar 2019
Representation Learning for Recommender Systems with Application to the
  Scientific Literature
Representation Learning for Recommender Systems with Application to the Scientific Literature
Robin Brochier
14
5
0
28 Feb 2019
Link Prediction with Mutual Attention for Text-Attributed Networks
Link Prediction with Mutual Attention for Text-Attributed Networks
Robin Brochier
Adrien Guille
Julien Velcin
14
12
0
28 Feb 2019
Link Prediction via Higher-Order Motif Features
Link Prediction via Higher-Order Motif Features
Ghadeer Abuoda
G. D. F. Morales
Ashraf Aboulnaga
24
37
0
08 Feb 2019
Word Embeddings for Entity-annotated Texts
Word Embeddings for Entity-annotated Texts
Satya Almasian
Andreas Spitz
Michael Gertz
19
7
0
06 Feb 2019
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Hooman Peiro Sajjad
Andrew Docherty
Y. Tyshetskiy
24
27
0
05 Jan 2019
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