ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.08928
  4. Cited By
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs
  from Large Graphs

subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs

29 June 2016
A. Narayanan
Mahinthan Chandramohan
Lihui Chen
Yang Liu
S. Saminathan
    GNN
ArXivPDFHTML

Papers citing "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"

17 / 17 papers shown
Title
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for
  Subseasonal Forecasting
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
Elena Orlova
Haokun Liu
Raphael Rossellini
B. Cash
Rebecca Willett
24
3
0
29 Nov 2022
Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
Franka Bause
Nils M. Kriege
CLL
34
6
0
19 Sep 2022
Model-Agnostic Augmentation for Accurate Graph Classification
Model-Agnostic Augmentation for Accurate Graph Classification
Jaemin Yoo
Sooyeon Shim
U. Kang
GNN
29
29
0
21 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
0
16 Feb 2022
Self-Supervised Graph Learning with Proximity-based Views and Channel
  Contrast
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast
Wei Zhuo
Guang Tan
SSL
19
0
0
07 Jun 2021
TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing
  Accounts
TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts
Jinhuan Wang
Pengtao Chen
Shanqing Yu
Qi Xuan
GNN
11
25
0
18 Apr 2021
On Using Classification Datasets to Evaluate Graph-Level Outlier
  Detection: Peculiar Observations and New Insights
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights
Lingxiao Zhao
Leman Akoglu
33
65
0
23 Dec 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
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
27
38
0
22 Aug 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDL
GNN
26
1
0
24 Jan 2019
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
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
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
106
3,080
0
04 Jun 2018
VERSE: Versatile Graph Embeddings from Similarity Measures
VERSE: Versatile Graph Embeddings from Similarity Measures
Anton Tsitsulin
Davide Mottin
Panagiotis Karras
Emmanuel Müller
4
267
0
13 Mar 2018
struc2vec: Learning Node Representations from Structural Identity
struc2vec: Learning Node Representations from Structural Identity
Leonardo F. R. Ribeiro
Pedro H. P. Saverese
Daniel R. Figueiredo
19
1,145
0
11 Apr 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
Nils M. Kriege
Marion Neumann
Christopher Morris
Kristian Kersting
Petra Mutzel
31
22
0
02 Mar 2017
DeepCas: an End-to-end Predictor of Information Cascades
DeepCas: an End-to-end Predictor of Information Cascades
Cheng Li
Jiaqi Ma
Xiaoxiao Guo
Qiaozhu Mei
GNN
27
324
0
16 Nov 2016
1