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Learning Role-based Graph Embeddings
v1v2 (latest)

Learning Role-based Graph Embeddings

7 February 2018
Nesreen Ahmed
Ryan Rossi
J. B. Lee
Theodore L. Willke
R. Zhou
Xiangnan Kong
Hoda Eldardiry
ArXiv (abs)PDFHTML

Papers citing "Learning Role-based Graph Embeddings"

33 / 33 papers shown
Title
Unsupervised Framework for Evaluating and Explaining Structural Node
  Embeddings of Graphs
Unsupervised Framework for Evaluating and Explaining Structural Node Embeddings of Graphs
A. Dehghan
Kinga Siuta
Agata Skorupka
A. Betlen
David Miller
B. Kamiński
P. Prałat
53
1
0
19 Jun 2023
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection
Sihao Hu
Zhen Zhang
B. Luo
Shengliang Lu
Bingsheng He
Ling Liu
74
44
0
29 Mar 2023
Towards Improved Illicit Node Detection with Positive-Unlabelled
  Learning
Towards Improved Illicit Node Detection with Positive-Unlabelled Learning
Junliang Luo
Farimah Poursafaei
Xue Liu
49
2
0
04 Mar 2023
Neural Embedding: Learning the Embedding of the Manifold of Physics Data
Neural Embedding: Learning the Embedding of the Manifold of Physics Data
Sang Eon Park
Philip C. Harris
B. Ostdiek
PINNDRLAI4CE
100
17
0
10 Aug 2022
MetaGL: Evaluation-Free Selection of Graph Learning Models via
  Meta-Learning
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
Namyong Park
Ryan Rossi
Nesreen Ahmed
Christos Faloutsos
93
7
0
18 Jun 2022
LAGOON: An Analysis Tool for Open Source Communities
LAGOON: An Analysis Tool for Open Source Communities
Sourya Dey
Walt Woods
35
2
0
26 Jan 2022
Network representation learning: A macro and micro view
Network representation learning: A macro and micro view
Xueyi Liu
Jie Tang
GNNAI4TS
78
23
0
21 Nov 2021
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Amur Ghose
Vincent Zhang
Yingxue Zhang
Dong Li
Wulong Liu
Mark Coates
77
31
0
10 Nov 2021
Network Representation Learning: From Preprocessing, Feature Extraction
  to Node Embedding
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
Jingya Zhou
Ling Liu
Wenqi Wei
Jianxi Fan
AI4TS
102
77
0
14 Oct 2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and
  Structural Role-based Node Embeddings
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
Benedek Rozemberczki
Rik Sarkar
211
71
0
08 Jan 2021
Massively Parallel Graph Drawing and Representation Learning
Massively Parallel Graph Drawing and Representation Learning
Christian Böhm
Claudia Plant
GNN
104
3
0
06 Nov 2020
Heterogeneous Graphlets
Heterogeneous Graphlets
Ryan A. Rossi
Nesreen Ahmed
Aldo G. Carranza
David Arbour
Anup B. Rao
Sungchul Kim
Eunyee Koh
54
20
0
23 Oct 2020
Graph Neural Networks with Heterophily
Graph Neural Networks with Heterophily
Jiong Zhu
Ryan A. Rossi
Anup B. Rao
Tung Mai
Nedim Lipka
Nesreen Ahmed
Danai Koutra
91
314
0
28 Sep 2020
From Static to Dynamic Node Embeddings
From Static to Dynamic Node Embeddings
Di Jin
Sungchul Kim
Ryan A. Rossi
Danai Koutra
AI4TS
57
4
0
21 Sep 2020
Bot-Match: Social Bot Detection with Recursive Nearest Neighbors Search
Bot-Match: Social Bot Detection with Recursive Nearest Neighbors Search
David M. Beskow
Kathleen M. Carley
AAML
18
2
0
15 Jul 2020
Blockchain is Watching You: Profiling and Deanonymizing Ethereum Users
Blockchain is Watching You: Profiling and Deanonymizing Ethereum Users
Ferenc Béres
István András Seres
András A. Benczúr
Mikerah Quintyne-Collins
85
76
0
28 May 2020
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative
  Filtering
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
Tomislav Duricic
Hussain Hussain
Emanuel Lacić
Dominik Kowald
D. Helic
Elisabeth Lex
FedML
29
3
0
30 Mar 2020
Block-Approximated Exponential Random Graphs
Block-Approximated Exponential Random Graphs
Florian Adriaens
Alexandru Mara
Jefrey Lijffijt
T. D. Bie
47
3
0
14 Feb 2020
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A Survey
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
Philip S. Yu
GNN
69
77
0
25 Dec 2019
Temporal Network Sampling
Temporal Network Sampling
Nesreen Ahmed
N. Duffield
Ryan A. Rossi
AI4TS
63
3
0
18 Oct 2019
RiWalk: Fast Structural Node Embedding via Role Identification
RiWalk: Fast Structural Node Embedding via Role Identification
Xuewei Ma
Geng Qin
Zhiyang Qiu
Mingxin Zheng
Zhe Wang
57
38
0
15 Oct 2019
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
286
867
0
28 Sep 2019
On Proximity and Structural Role-based Embeddings in Networks:
  Misconceptions, Techniques, and Applications
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications
Ryan A. Rossi
Di Jin
Sungchul Kim
Nesreen Ahmed
Danai Koutra
J. B. Lee
70
38
0
22 Aug 2019
Embedding Biomedical Ontologies by Jointly Encoding Network Structure
  and Textual Node Descriptors
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors
Sotiris Kotitsas
Dimitris Pappas
Ion Androutsopoulos
Ryan T. McDonald
Marianna Apidianaki
GNN
37
15
0
13 Jun 2019
End to end learning and optimization on graphs
End to end learning and optimization on graphs
Bryan Wilder
Eric Ewing
B. Dilkina
Milind Tambe
GNN
86
107
0
31 May 2019
Dynamic Node Embeddings from Edge Streams
Dynamic Node Embeddings from Edge Streams
J. B. Lee
G. Nguyen
Ryan A. Rossi
Nesreen Ahmed
Eunyee Koh
Sungchul Kim
AI4TS
65
6
0
12 Apr 2019
Heterogeneous Network Motifs
Heterogeneous Network Motifs
Ryan A. Rossi
Nesreen Ahmed
Aldo G. Carranza
David Arbour
Anup B. Rao
Sungchul Kim
Eunyee Koh
100
23
0
28 Jan 2019
Role action embeddings: scalable representation of network positions
Role action embeddings: scalable representation of network positions
George Berry
GNN
32
2
0
19 Nov 2018
Similarity Learning with Higher-Order Graph Convolutions for Brain
  Network Analysis
Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
D. Sengupta
Michael W. Cole
Nicholas B. Turk-Browne
Pratik Shah
MedIm
82
8
0
02 Nov 2018
Higher-order Spectral Clustering for Heterogeneous Graphs
Higher-order Spectral Clustering for Heterogeneous Graphs
Aldo G. Carranza
Ryan A. Rossi
Anup B. Rao
Eunyee Koh
42
9
0
06 Oct 2018
Higher-order Graph Convolutional Networks
Higher-order Graph Convolutional Networks
J. B. Lee
Ryan A. Rossi
Xiangnan Kong
Sungchul Kim
Eunyee Koh
Anup B. Rao
GNN
74
36
0
12 Sep 2018
Attention Models in Graphs: A Survey
Attention Models in Graphs: A Survey
J. B. Lee
Ryan A. Rossi
Sungchul Kim
Nesreen K. Ahmed
Eunyee Koh
GNN
67
164
0
20 Jul 2018
HONE: Higher-Order Network Embeddings
HONE: Higher-Order Network Embeddings
Ryan A. Rossi
Nesreen Ahmed
Eunyee Koh
Sungchul Kim
Anup B. Rao
Yasin Abbasi-Yadkori
98
22
0
28 Jan 2018
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