graph2vec: Learning Distributed Representations of Graphs

17 July 2017

A. Narayanan

Mahinthan Chandramohan

Yang Liu

Papers citing "graph2vec: Learning Distributed Representations of Graphs"

50 / 265 papers shown

Title
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights Lingxiao Zhao Leman Akoglu 93 68 0 23 Dec 2020
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees Nghi D. Q. Bui Yijun Yu Lingxiao Jiang SSL 67 107 0 13 Dec 2020
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans Vahid Azizi Muhammad Usman H. Zhou P. Faloutsos Mubbasir Kapadia 3DV 64 18 0 08 Dec 2020
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks Tao Huang Yihan Zhang Jiajing Wu Junyuan Fang Zibin Zheng GNN 21 2 0 17 Nov 2020
A Large-Scale Database for Graph Representation Learning Scott Freitas Yuxiao Dong Joshua Neil Duen Horng Chau PINN GNN 102 60 0 16 Nov 2020
Iterative Graph Self-Distillation Hanlin Zhang Shuai Lin Weiyang Liu Pan Zhou Jian Tang Xiaodan Liang Eric Xing SSL 117 34 0 23 Oct 2020
Towards Expressive Graph Representation Chengsheng Mao Liang Yao Yuan Luo 88 2 0 12 Oct 2020
A Practical Tutorial on Graph Neural Networks I. Ward J. Joyner C. Lickfold Yulan Guo Bennamoun GNN AI4CE 120 15 0 11 Oct 2020
Unsupervised Joint $k$ -node Graph Representations with Compositional Energy-Based Models Leonardo Cotta Carlos H. C. Teixeira A. Swami Bruno Ribeiro SSL 72 9 0 08 Oct 2020
Anomaly Detection in Large Labeled Multi-Graph Databases Hung T. Nguyen Pierre Jinghong Liang Leman Akoglu 24 6 0 07 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 148 230 0 30 Sep 2020
dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs E. Cakmak Dominik Jäckle Tobias Schreck Daniel A. Keim 44 6 0 15 Sep 2020
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs E. Cakmak U. Schlegel Dominik Jäckle Daniel A. Keim Tobias Schreck AI4TS 41 14 0 19 Aug 2020
GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis K. Melnyk Stefan Klus G. Montavon Tim Conrad 29 11 0 12 Aug 2020
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks S. Narayanan A. Ramachandran Sathyanarayanan N. Aakur A. Bagavathi 39 5 0 24 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 42 3 0 19 Jul 2020
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification Jiajun Zhou Jie Shen Shanqing Yu Guanrong Chen Qi Xuan 90 24 0 11 Jul 2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening Louis Bethune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard 28 3 0 07 Jul 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 251 960 0 17 Jun 2020
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing Nikita Klyuchnikov I. Trofimov Ekaterina Artemova Mikhail Salnikov M. Fedorov Evgeny Burnaev VLM 112 105 0 12 Jun 2020
Attention improves concentration when learning node embeddings Matthew Dippel Adam Kiezun Tanay Mehta Ravi Sundaram S. Thirumalai Akshar Varma GNN 24 1 0 11 Jun 2020
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning Jiawei Zhang 20 2 0 11 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 251 1,309 0 10 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization S. Bandyopadhyay Manasvi Aggarwal M. Murty SSL 23 6 0 08 Jun 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 88 174 0 27 Mar 2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming Ali Payani Faramarz Fekri 101 18 0 23 Mar 2020
Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring Du Su Ali Yekkehkhany Yi Lu Wenmiao Lu AIMat 21 1 0 21 Mar 2020
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization Fei Ding Xiaohong Zhang Justin Sybrandt Ilya Safro SSL 23 6 0 18 Mar 2020
Learning distributed representations of graphs with Geo2DR P. Scherer Pietro Lio GNN 43 4 0 12 Mar 2020
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs Benedek Rozemberczki Oliver Kiss Rik Sarkar GNN 63 29 0 10 Mar 2020
The Spectral Underpinning of word2vec Ariel Jaffe Y. Kluger Ofir Lindenbaum J. Patsenker Erez Peterfreund Stefan Steinerberger 59 8 0 27 Feb 2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures Jatin Chauhan Deepak Nathani Manohar Kaul 73 70 0 27 Feb 2020
Theoretical Guarantees for Bridging Metric Measure Embedding and Optimal Transport Mokhtar Z. Alaya Maxime Bérar Gilles Gasso A. Rakotomamonjy OT 37 0 0 19 Feb 2020
Segmented Graph-Bert for Graph Instance Modeling Jiawei Zhang SSeg 60 6 0 09 Feb 2020
Distance Metric Learning for Graph Structured Data Tomoki Yoshida Ichiro Takeuchi Masayuki Karasuyama 115 12 0 03 Feb 2020
Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity Nikolaos N. Vlassis R. Ma WaiChing Sun AI4CE 60 176 0 08 Jan 2020
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats Xueyuan Han Thomas Pasquier Adam Bates James W. Mickens Margo Seltzer 109 286 0 06 Jan 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 67 77 0 25 Dec 2019
ET-USB: Transformer-Based Sequential Behavior Modeling for Inbound Customer Service Ta-Chun Su Guan-Ying Chen 22 0 0 20 Dec 2019
Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity Xin Ma Guorong Wu Won Hwa Kim MedIm 15 8 0 03 Dec 2019
Learning based Methods for Code Runtime Complexity Prediction Jagriti Sikka K. Satya Yaman Kumar Singla Shagun Uppal R. Shah Roger Zimmermann 53 14 0 04 Nov 2019
A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data X. Guo A. Srivastava Sudeep Sarkar 45 14 0 30 Sep 2019
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning Chenrui Zhang Xiaoqing Lyu Zhi Tang 65 30 0 30 Aug 2019
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 65 38 0 22 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 177 867 0 31 Jul 2019
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification Lin Meng Jiawei Zhang GNN 69 19 0 22 Jul 2019
From Node Embedding To Community Embedding : A Hyperbolic Approach Thomas Gerald Hadi Zaatiti H. Hajri Nicolas Baskiotis Olivier Schwander 45 3 0 02 Jul 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 48 57 0 21 Apr 2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective Jia Li Yu Rong Hong Cheng Helen Meng Wen-bing Huang Junzhou Huang 44 151 0 10 Apr 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Yunsheng Bai Haoyang Ding Yang Qiao Agustin Marinovic Ken Gu Tingting Chen Yizhou Sun Wei Wang 107 10 0 01 Apr 2019