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1803.04742
Cited By
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
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FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks
Md. Khaledur Rahman
Majedul Haque Sujon
A. Azad
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0
07 Nov 2020
Massively Parallel Graph Drawing and Representation Learning
Christian Böhm
Claudia Plant
GNN
9
2
0
06 Nov 2020
GAGE: Geometry Preserving Attributed Graph Embeddings
Charilaos I. Kanatsoulis
N. Sidiropoulos
22
2
0
03 Nov 2020
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
Xingyu Yao
Yingxia Shao
Bin Cui
Lei Chen
27
9
0
10 Oct 2020
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
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
Md. Khaledur Rahman
Majedul Haque Sujon
A. Azad
GNN
13
18
0
17 Sep 2020
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
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
Yun Peng
Byron Choi
Jianliang Xu
25
5
0
26 Aug 2020
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
Shijie Zhu
Jianxin Li
Hao Peng
Senzhang Wang
Lifang He
GAN
GNN
17
43
0
09 Aug 2020
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
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
Simone Piaggesi
Andre' Panisson
6
1
0
25 Jun 2020
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
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
31
1,273
0
10 Jun 2020
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
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?
Alexandru Mara
Jefrey Lijffijt
T. D. Bie
43
22
0
25 Feb 2020
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
Robin Brochier
Adrien Guille
Julien Velcin
10
10
0
10 Jan 2020
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
A. Lutov
Dingqi Yang
Philippe Cudré-Mauroux
14
7
0
17 Dec 2019
Exponential Family Graph Embeddings
Abdulkadir Çelikkanat
Fragkiskos D. Malliaros
33
13
0
20 Nov 2019
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
53
686
0
28 Oct 2019
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur
Stephan Günnemann
GNN
27
129
0
26 Sep 2019
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
Haochen Chen
Syed Fahad Sultan
Yingtao Tian
Muhao Chen
Steven Skiena
11
86
0
30 Aug 2019
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
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
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
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
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
B. Kamiński
P. Prałat
F. Théberge
10
15
0
29 May 2019
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
Thorben Funke
Tian Guo
Alen Lancic
Nino Antulov-Fantulin
11
4
0
24 May 2019
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
Alessandro Epasto
Bryan Perozzi
22
103
0
06 May 2019
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
Rami Al-Rfou
Dustin Zelle
Bryan Perozzi
13
57
0
21 Apr 2019
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
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
Robin Brochier
14
5
0
28 Feb 2019
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
Ghadeer Abuoda
G. D. F. Morales
Ashraf Aboulnaga
24
37
0
08 Feb 2019
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
Hooman Peiro Sajjad
Andrew Docherty
Y. Tyshetskiy
24
27
0
05 Jan 2019
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