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Graph Embedding Techniques, Applications, and Performance: A Survey

Graph Embedding Techniques, Applications, and Performance: A Survey

8 May 2017
Palash Goyal
Emilio Ferrara
    GNN
    AI4TS
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Papers citing "Graph Embedding Techniques, Applications, and Performance: A Survey"

14 / 114 papers shown
Title
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,400
0
20 Dec 2018
Role action embeddings: scalable representation of network positions
Role action embeddings: scalable representation of network positions
George Berry
GNN
21
2
0
19 Nov 2018
Systematic Biases in Link Prediction: comparing heuristic and graph
  embedding based methods
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods
Aakash Sinha
Rémy Cazabet
Rémi Vaudaine
11
9
0
11 Oct 2018
Applications of Graph Integration to Function Comparison and Malware
  Classification
Applications of Graph Integration to Function Comparison and Malware Classification
M. Slawinski
Andy Wortman
9
2
0
11 Oct 2018
apk2vec: Semi-supervised multi-view representation learning for
  profiling Android applications
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications
A. Narayanan
C. Soh
Lihui Chen
Yang Liu
Lipo Wang
SSL
11
26
0
15 Sep 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed
  Network Embedding
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding
Vachik S. Dave
Baichuan Zhang
Pin-Yu Chen
M. Hasan
BDL
21
29
0
23 Apr 2018
Walk-Steered Convolution for Graph Classification
Walk-Steered Convolution for Graph Classification
Jiatao Jiang
Chunyan Xu
Zhen Cui
Tong Zhang
Chengzhen Li
Jian Yang
GNN
17
12
0
16 Apr 2018
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
O. Ganea
Gary Bécigneul
Thomas Hofmann
30
263
0
03 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
25
171
0
03 Apr 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding
MILE: A Multi-Level Framework for Scalable Graph Embedding
Jiongqian Liang
Saket Gurukar
Srinivas Parthasarathy
GNN
20
77
0
26 Feb 2018
Learning Role-based Graph Embeddings
Learning Role-based Graph Embeddings
Nesreen Ahmed
Ryan Rossi
J. B. Lee
Theodore L. Willke
R. Zhou
Xiangnan Kong
Hoda Eldardiry
13
96
0
07 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
26
1,504
0
30 Jan 2018
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
38
1,780
0
22 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
34
1,966
0
17 Sep 2017
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