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graph2vec: Learning Distributed Representations of Graphs

graph2vec: Learning Distributed Representations of Graphs

17 July 2017
A. Narayanan
Mahinthan Chandramohan
R. Venkatesan
Lihui Chen
Yang Liu
Shantanu Jaiswal
    GNN
ArXiv (abs)PDFHTML

Papers citing "graph2vec: Learning Distributed Representations of Graphs"

50 / 265 papers shown
Title
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
Jiancheng Ruan
Tingyang Chen
Renchi Yang
Xiangyu Ke
Yunjun Gao
14
0
0
19 Jun 2025
Model-Driven Graph Contrastive Learning
Model-Driven Graph Contrastive Learning
Ali Azizpour
Nicolas Zilberstein
Santiago Segarra
61
0
0
06 Jun 2025
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
N. Lell
A. Scherp
101
0
0
05 Jun 2025
CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning
CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning
Bin Qin
Qirui Ji
Jiangmeng Li
Yupeng Wang
Xuesong Wu
Jianwen Cao
Fanjiang Xu
31
0
0
27 May 2025
Network classification through random walks
Network classification through random walks
G. Travieso
Joao Merenda
Odemir M. Bruno
12
0
0
27 May 2025
Self-Reinforced Graph Contrastive Learning
Self-Reinforced Graph Contrastive Learning
Chou-Ying Hsieh
Chun-Fu Jang
Cheng-En Hsieh
Qian-Hui Chen
Sy-Yen Kuo
46
0
0
19 May 2025
QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks
QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks
Hanjing Xu
Xiaoyuan Liu
Alex Pothen
Ilya Safro
GNN
61
0
0
29 Apr 2025
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
Heesoo Jung
Hogun Park
84
2
0
16 Apr 2025
Robust Markov stability for community detection at a scale learned based on the structure
Robust Markov stability for community detection at a scale learned based on the structure
Samin Aref
Sanchaai Mathiyarasan
62
1
0
15 Apr 2025
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Kien X. Nguyen
Bao Bach
Ilya Safro
56
1
0
14 Apr 2025
Network Embedding Exploration Tool (NEExT)
Network Embedding Exploration Tool (NEExT)
Ashkan Dehghan
P. Prałat
F. Théberge
GNN
81
0
0
20 Mar 2025
Analytics Modelling over Multiple Datasets using Vector Embeddings
Analytics Modelling over Multiple Datasets using Vector Embeddings
Andreas Loizou
Dimitrios Tsoumakos
162
0
0
24 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
137
2
0
14 Feb 2025
Aspects of Artificial Intelligence: Transforming Machine Learning Systems Naturally
Aspects of Artificial Intelligence: Transforming Machine Learning Systems Naturally
Xiuzhan Guo
100
0
0
03 Feb 2025
Decoding Musical Evolution Through Network Science
Decoding Musical Evolution Through Network Science
Niccolo' Di Marco
Edoardo Loru
Alessandro Galeazzi
Matteo Cinelli
Walter Quattrociocchi
45
1
0
13 Jan 2025
METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift
J. Ying
Tiantian Zhu
Aohan Zheng
Tieming Chen
Mingqi Lv
Yan Chen
78
0
0
03 Jan 2025
Context-Aware Deep Learning for Multi Modal Depression Detection
Context-Aware Deep Learning for Multi Modal Depression Detection
Genevieve Lam
Huang Dongyan
Weisi Lin
81
0
0
26 Dec 2024
Training MLPs on Graphs without Supervision
Training MLPs on Graphs without Supervision
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
125
10
0
05 Dec 2024
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
Wu Junran
Chen Xueyuan
Li Shangzhe
95
1
0
27 Oct 2024
Tensor-Fused Multi-View Graph Contrastive Learning
Tensor-Fused Multi-View Graph Contrastive Learning
Yujia Wu
Junyi Mo
Elynn Chen
Yuzhou Chen
115
1
0
20 Oct 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without
  Positive Samples
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
Yuntao Shou
Xiangyong Cao
Deyu Meng
96
10
0
14 Oct 2024
Automated Tone Transcription and Clustering with Tone2Vec
Automated Tone Transcription and Clustering with Tone2Vec
Yi Yang
Yiming Wang
ZhiQiang Tang
Jiahong Yuan
31
0
0
03 Oct 2024
Whole-Graph Representation Learning For the Classification of Signed
  Networks
Whole-Graph Representation Learning For the Classification of Signed Networks
Noé Cecillon
Vincent Labatut
Richard Dufour
Nejat Arınık
GNN
44
1
0
30 Sep 2024
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous
  Data in Deep Neural Networks
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks
Debargha Ganguly
Debayan Gupta
Vipin Chaudhary
GNN
55
1
0
26 Sep 2024
Disentangled Generative Graph Representation Learning
Disentangled Generative Graph Representation Learning
Xinyue Hu
Zhibin Duan
Xinyang Liu
Yuxin Li
Bo Chen
Mingyuan Zhou
118
0
0
24 Aug 2024
DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs
DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs
Joohee Kim
Hyunwook Lee
Duc-Minh Nguyen
Minjeong Shin
Bum Chul Kwon
Sungahn Ko
Niklas Elmqvist
80
4
0
09 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Tobias Bernecker
Ghalia Rehawi
Francesco Paolo Casale
Janine Knauer-Arloth
Annalisa Marsico
80
1
0
08 Aug 2024
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
Eren Olug
Kıymet Kaya
Resul Tugay
Sule Gunduz Oguducu
30
0
0
02 Aug 2024
You shall know a piece by the company it keeps. Chess plays as a data
  for word2vec models
You shall know a piece by the company it keeps. Chess plays as a data for word2vec models
Boris Orekhov
30
0
0
28 Jul 2024
DisenSemi: Semi-supervised Graph Classification via Disentangled
  Representation Learning
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
Yifan Wang
Xiao Luo
Chong Chen
Xian-Sheng Hua
Ming Zhang
Wei Ju
83
24
0
19 Jul 2024
TopoGCL: Topological Graph Contrastive Learning
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen
José Frías
Yulia R. Gel
76
9
0
25 Jun 2024
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph
  Embedding
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding
Carmel Shabalin
Omri Kaduri
Roni Stern
AI4CE
31
0
0
16 Jun 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge
  Graphs
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs
Elika Bozorgi
Sakher Khalil Alqaiidi
Afsaneh Shams
H. Arabnia
Krzysztof Kochut
62
0
0
11 Jun 2024
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph
  Representation Learning
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
Zhuo Xu
Lu Bai
Lixin Cui
Ming Li
Yue Wang
Edwin R. Hancock
GNN
55
1
0
23 May 2024
Safety in Graph Machine Learning: Threats and Safeguards
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
100
8
0
17 May 2024
Hypergraph-enhanced Dual Semi-supervised Graph Classification
Hypergraph-enhanced Dual Semi-supervised Graph Classification
Wei Ju
Zhengyan Mao
Siyu Yi
Yifang Qin
Yiyang Gu
Zhiping Xiao
Yifan Wang
Xiao Luo
Ming Zhang
67
11
0
08 May 2024
Community-Invariant Graph Contrastive Learning
Community-Invariant Graph Contrastive Learning
Shiyin Tan
Dongyuan Li
Xue Liu
Ying Zhang
Manabu Okumura
OOD
95
4
0
02 May 2024
Process Mining Embeddings: Learning Vector Representations for Petri
  Nets
Process Mining Embeddings: Learning Vector Representations for Petri Nets
J. Colonna
Ahmed A. Fares
Márcio Duarte
Ricardo Sousa
AI4TS
55
2
0
26 Apr 2024
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph
  Convolution and Pooling
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling
Zehao Dong
Muhan Zhang
Yixin Chen
79
0
0
21 Apr 2024
AI Competitions and Benchmarks: Dataset Development
AI Competitions and Benchmarks: Dataset Development
Romain Egele
Julio C. S. Jacques Junior
Jan N. van Rijn
Isabelle M Guyon
Xavier Baró
Albert Clapés
Prasanna Balaprakash
Sergio Escalera
T. Moeslund
Jun Wan
76
0
0
15 Apr 2024
Graph data augmentation with Gromow-Wasserstein Barycenters
Graph data augmentation with Gromow-Wasserstein Barycenters
Andrea Ponti
62
0
0
12 Apr 2024
Investigating Similarities Across Decentralized Financial (DeFi)
  Services
Investigating Similarities Across Decentralized Financial (DeFi) Services
Junliang Luo
Stefan Kitzler
Pietro Saggese
47
0
0
23 Mar 2024
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
B.K. Casey
Joanna C. S. Santos
George Perry
93
5
0
15 Mar 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai
Sai Wu
Mingli Song
Junbo Zhao
Gang Chen
117
2
0
11 Mar 2024
Control-based Graph Embeddings with Data Augmentation for Contrastive
  Learning
Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
O. Ahmad
Anwar Said
Mudassir Shabbir
W. Abbas
X. Koutsoukos
24
1
0
07 Mar 2024
Multi-Scale Subgraph Contrastive Learning
Multi-Scale Subgraph Contrastive Learning
Yanbei Liu
Yu Zhao
Xiao Wang
Lei Geng
Zhitao Xiao
53
13
0
05 Mar 2024
An Interpretable Ensemble of Graph and Language Models for Improving
  Search Relevance in E-Commerce
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce
Nurendra Choudhary
E-Wen Huang
Karthik Subbian
Chandan K. Reddy
45
3
0
01 Mar 2024
Always be Pre-Training: Representation Learning for Network Intrusion
  Detection with GNNs
Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs
Zhengyao Gu
Diego Troy Lopez
Lilas Alrahis
Ozgur Sinanoglu
AI4CE
85
6
0
29 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without
  Supervision
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
69
10
0
14 Feb 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang
Xiang Tao
Qiang Liu
Shu Wu
Liang Wang
90
18
0
11 Feb 2024
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