graph2vec: Learning Distributed Representations of Graphs

graph2vec: Learning Distributed Representations of Graphs

17 July 2017

Mahinthan Chandramohan

Yang Liu

Shantanu Jaiswal

Papers citing "graph2vec: Learning Distributed Representations of Graphs"

9 / 9 papers shown

Title
Data Analysis Prediction over Multiple Unseen Datasets: A Vector Embedding Approach Andreas Loizou Dimitrios Tsoumakos 83 0 0 24 Feb 2025
Aspects of Artificial Intelligence: Transforming Machine Learning Systems Naturally Xiuzhan Guo 71 0 0 03 Feb 2025
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 65 1 0 20 Oct 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation Tobias Bernecker Ghalia Rehawi Francesco Paolo Casale Janine Knauer-Arloth Annalisa Marsico 53 1 0 08 Aug 2024
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks B.K. Casey Joanna C. S. Santos George Perry 79 5 0 15 Mar 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Yuxuan Liang Xavier Bresson Xinchao Wang Roger Zimmermann 53 4 0 18 Jan 2024
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 117 17 0 17 Aug 2022
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 197 1,292 0 10 Jun 2020
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs A. Narayanan Mahinthan Chandramohan Lihui Chen Yang Liu S. Saminathan GNN 44 156 0 29 Jun 2016