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
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision Nathaniel Hudson J. G. Pauloski Matt Baughman Alok V. Kamatar Mansi Sakarvadia ... Owen Price Skelly Ben Blaiszik Rick L. Stevens Kyle Chard Ian Foster MedIm 81 8 0 05 Feb 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling Wei Ju Yiyang Gu Zhengyan Mao Ziyue Qiao Yifang Qin Xiao Luo Hui Xiong Ming Zhang SSL 86 10 0 29 Jan 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 95 4 0 18 Jan 2024
Curator: Efficient Indexing for Multi-Tenant Vector Databases Yicheng Jin Yongji Wu Wenjun Hu B. M. Maggs Xiao Zhang Danyang Zhuo 28 2 0 13 Jan 2024
Unifying Graph Contrastive Learning via Graph Message Augmentation Ziyan Zhang Bo Jiang Jin Tang Bin Luo 69 1 0 08 Jan 2024
Graph-level Protein Representation Learning by Structure Knowledge Refinement Ge Wang Z. Zang Jiangbin Zheng Jun Xia Stan Z. Li 44 0 0 05 Jan 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Tianqianjin Lin Changlong Sun Xiaozhong Liu AI4CE 57 3 0 19 Dec 2023
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective Qirui Ji Jiangmeng Li Jie Hu Rui Wang Changwen Zheng Fanjiang Xu 89 14 0 16 Dec 2023
A latent linear model for nonlinear coupled oscillators on graphs Agam Goyal Zhaoxing Wu Richard P. Yim Binhao Chen Zihong Xu Hanbaek Lyu 71 0 0 25 Nov 2023
Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering Mengling Hu Chaochao Chen Weiming Liu Xinyi Zhang Xinting Liao Xiaolin Zheng 58 4 0 23 Nov 2023
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach Konstantinos Sotiropoulos Lingxiao Zhao Pierre Jinghong Liang Leman Akoglu 101 4 0 13 Nov 2023
Detecting Suspicious Commenter Mob Behaviors on YouTube Using Graph2Vec Shadi Shajari Mustafa Alassad Nitin Agarwal 111 2 0 09 Nov 2023
IC-SECURE: Intelligent System for Assisting Security Experts in Generating Playbooks for Automated Incident Response Ryuta Kremer Prasanna N. Wudali Satoru Momiyama Toshinori Araki Jun Furukawa Yuval Elovici A. Shabtai 25 2 0 07 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 112 15 0 02 Nov 2023
Ensemble Learning for Graph Neural Networks Zhen Hao Wong Ling Yue Quanming Yao 89 0 0 22 Oct 2023
Self-Discriminative Modeling for Anomalous Graph Detection Jinyu Cai Yunhe Zhang Jicong Fan 61 6 0 10 Oct 2023
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study Alexander Galozy Sadi Alawadi V. Kebande Sławomir Nowaczyk 113 1 0 30 Sep 2023
Latent Graphs for Semi-Supervised Learning on Biomedical Tabular Data Boshko Koloski Nada Lavravc Senja Pollak Blavz vSkrlj 50 1 0 27 Sep 2023
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis Xiangzhu Meng Wei Wei Qiang Liu Shu Wu Liang Wang 29 0 0 14 Sep 2023
Graph Self-Contrast Representation Learning Minjie Chen Yao Cheng Ye Wang Xiangci Li Ming Gao SSL 84 1 0 05 Sep 2023
Learning from A Single Graph is All You Need for Near-Shortest Path Routing in Wireless Networks Yung-Fu Chen Sen-Fon Lin A. Arora GNN 59 0 0 18 Aug 2023
Graph-level Anomaly Detection via Hierarchical Memory Networks Chaoxi Niu Guansong Pang Ling-Hao Chen 107 17 0 03 Jul 2023
Graph Neural Networks based Log Anomaly Detection and Explanation Zhong Li Jiayang Shi M. Leeuwen 81 13 0 02 Jul 2023
An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics Xue Liu Dan Sun Wei Wei Zhiming Zheng 19 0 0 26 Jun 2023
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement Lucas Potin R. Figueiredo Vincent Labatut C. Largeron 51 3 0 19 Jun 2023
Randomized Schur Complement Views for Graph Contrastive Learning Vignesh Kothapalli 117 2 0 06 Jun 2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs Zhiyong Yang Tinglin Huang Ming Ding Yuxiao Dong Rex Ying Yukuo Cen Yangli-ao Geng Jie Tang SSL VLM 91 9 0 06 Jun 2023
Graph-Level Embedding for Time-Evolving Graphs Lili Wang Chenghan Huang Weicheng Ma Xinyuan Cao Soroush Vosoughi AI4CE 36 1 0 01 Jun 2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning Junran Wu Xueyuan Chen Bowen Shi Shangzhe Li Ke Xu 55 8 0 08 May 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification Wei Ju Xiao Luo Meng Qu Yifan Wang C. L. Philip Chen Minghua Deng Xiansheng Hua Ming Zhang 83 35 0 23 Apr 2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning Gehang Zhang Yu Bowen Jiangxia Cao Xinghua Zhang Shuaiyi Nie Chuan Zhou Tingwen Liu 138 0 0 20 Apr 2023
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction P. Samoaa Linus Aronsson Antonio Longa Philipp Leitner M. Chehreghani 73 6 0 06 Apr 2023
RARE: Robust Masked Graph Autoencoder Wenxuan Tu Qing Liao Sihang Zhou Xin Peng Chuan Ma Zhe Liu Xinwang Liu Zhiping Cai 117 16 0 04 Apr 2023
Graph Mining for Cybersecurity: A Survey Bo Yan Cheng Yang Chuan Shi Yong Fang Qi Li Yanfang Ye Junping Du 92 15 0 02 Apr 2023
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings Alexia Toumpa Anthony G. Cohn OCL 61 1 0 30 Mar 2023
Learning distributed representations with efficient SoftMax normalization Lorenzo DallÁmico Enrico Belliardo 38 1 0 30 Mar 2023
When to Pre-Train Graph Neural Networks? From Data Generation Perspective! Yu Cao Jiarong Xu Carl Yang Jiaan Wang Yunchao Zhang Chunping Wang Lei Chen Yang Yang 107 16 0 29 Mar 2023
Seq-HyGAN: Sequence Classification via Hypergraph Attention Network Khaled Mohammed Saifuddin Corey May Farhan Tanvir Muhammad Ifte Khairul Islam Esra Akbas GNN 73 9 0 04 Mar 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning Yun Zhu Jianhao Guo Siliang Tang 108 30 0 24 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark Coates 90 9 0 06 Feb 2023
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network Jinyu Cai Yi Han Wenzhong Guo Jicong Fan 87 9 0 05 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 99 9 0 31 Jan 2023
DBGDGM: Dynamic Brain Graph Deep Generative Model Alexander Campbell Simeon E. Spasov N. Toschi Pietro Lio 40 0 0 26 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Hongzhi Zhang Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio GNN AI4CE 125 15 0 14 Jan 2023
Estimation of User's World Model Using Graph2vec Tatsuya Sakai Takayuki Nagai 73 2 0 10 Jan 2023
Vulnerability Analysis of Smart Contracts S. Vani M. Doshi A. Nanavati A. Kundu 42 7 0 14 Dec 2022
3D Neuron Morphology Analysis Jiaxiang Jiang Michael Goebel Cezar Borba William Smith B. S. Manjunath 58 0 0 14 Dec 2022
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode Tiezhu Sun Kevin Allix Kisub Kim Xin Zhou Dongsun Kim David Lo Tegawende F. Bissyande Jacques Klein 119 13 0 12 Dec 2022
A survey on knowledge-enhanced multimodal learning Maria Lymperaiou Giorgos Stamou 159 15 0 19 Nov 2022
Network Security Roadmap Praveenkumar Kumar 67 1 0 10 Nov 2022