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
Graph Contrastive Learning with Implicit Augmentations Huidong Liang Xingjian Du Bilei Zhu Zejun Ma Ke Chen Junbin Gao 89 30 0 07 Nov 2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning Jun Wang Weixun Li Changyu Hou Xin Tang Yixuan Qiao Rui Fang Pengyong Li Peng Gao Guowang Xie 62 1 0 21 Oct 2022
Graph Anomaly Detection with Unsupervised GNNs Lingxiao Zhao Saurabh Sawlani Arvind Srinivasan Leman Akoglu 75 17 0 18 Oct 2022
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming Kshitij Goyal Wannes Meert Hendrik Blockeel E. V. Wolputte Koen Vanderstraeten Wouter Pijpops Kurt Jaspers 69 1 0 04 Oct 2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies Xue Liu Dan Sun X. Cao Hao Ye Wei Wei 71 0 0 02 Oct 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 70 1 0 30 Sep 2022
Distributed representations of graphs for drug pair scoring P. Scherer Pietro Lio M. Jamnik 102 2 0 19 Sep 2022
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling Yang Zhang G. Zhou Zhewei Wei Hongteng Xu 60 10 0 18 Sep 2022
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity Jiangmeng Li Jingyao Wang Changwen Zheng Fuchun Sun Farid Razzak Ji-Rong Wen Hui Xiong 105 7 0 16 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Yiyue Qian Yanfang Ye Chuxu Zhang SSL 82 6 0 16 Sep 2022
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 230 19 0 17 Aug 2022
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning? C. Gerloff K. Konrad Jana A. Kruppa M. Schulte-Rüther Vanessa Reindl 46 4 0 17 Aug 2022
ARIEL: Adversarial Graph Contrastive Learning Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 87 7 0 15 Aug 2022
Neural Embedding: Learning the Embedding of the Manifold of Physics Data Sang Eon Park Philip C. Harris B. Ostdiek PINN DRL AI4CE 94 17 0 10 Aug 2022
Pattern Analysis of Money Flow in the Bitcoin Blockchain Natkamon Tovanich Rémy Cazabet 62 5 0 15 Jul 2022
Text Enriched Sparse Hyperbolic Graph Convolutional Networks Nurendra Choudhary Nikhil S. Rao Karthik Subbian Chandan K. Reddy 47 0 0 06 Jul 2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning Haoran Yang Hongxu Chen Sixiao Zhang Xiangguo Sun Qian Li Xiangyu Zhao Guandong Xu SSL 100 25 0 01 Jul 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning Jiashun Cheng Man Li Jia Li Fugee Tsung SSL 69 16 0 26 Jun 2022
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training Xueyi Liu Yu Rong Tingyang Xu Gang Hua Wen-bing Huang Junzhou Huang 29 0 0 23 Jun 2022
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning Namyong Park Ryan Rossi Nesreen Ahmed Christos Faloutsos 93 7 0 18 Jun 2022
Semi-Supervised Hierarchical Graph Classification Jia Li Yongfeng Huang Heng Chang Yu Rong 77 29 0 11 Jun 2022
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks Mehrdad Khatir Nurendra Choudhary Sutanay Choudhury Khushbu Agarwal Chandan K. Reddy 64 4 0 09 Jun 2022
Simplifying Polylogarithms with Machine Learning Aurélien Dersy M. Schwartz Xiao-Yan Zhang AI4CE 203 16 0 08 Jun 2022
GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation Mario Alfonso Prado-Romero Giovanni Stilo 42 16 0 07 Jun 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang linda Qiao 120 12 0 31 May 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Hongzhi Zhang Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 100 0 0 31 May 2022
Raising the Bar in Graph-level Anomaly Detection Chen Qiu Marius Kloft Stephan Mandt Maja R. Rudolph 68 65 0 27 May 2022
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks Lu Bai Weixing Ji Qinyuan Li Xi Yao Wei Xin Wanyi Zhu 50 6 0 24 May 2022
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? Shikhar Tuli Bhishma Dedhia Shreshth Tuli N. Jha 94 14 0 23 May 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 137 591 0 22 May 2022
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification Wei Ju Junwei Yang Meng Qu Weiping Song Jianhao Shen Ming Zhang 98 42 0 21 May 2022
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation D. Koblah R. Acharya Daniel Capecci Olivia P. Dizon-Paradis Shahin Tajik F. Ganji D. Woodard Domenic Forte 57 12 0 19 Apr 2022
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers Jie Song M. Liang Zhe Xue Junping Du Feifei Kou 43 0 0 31 Mar 2022
On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach Jiawei Sun Ruoxin Chen Jie Li Chentao Wu Yue Ding Junchi Yan 76 1 0 24 Mar 2022
Unsupervised Semantic Segmentation by Distilling Feature Correspondences Mark Hamilton Zhoutong Zhang Bharath Hariharan Noah Snavely William T. Freeman 59 245 0 16 Mar 2022
Supervised Contrastive Learning with Structure Inference for Graph Classification Hao Jia Junzhong Ji Minglong Lei 75 11 0 15 Mar 2022
Understanding microbiome dynamics via interpretable graph representation learning K. Melnyk Kuba Weimann Tim Conrad 74 6 0 02 Mar 2022
Distribution Preserving Graph Representation Learning Chengsheng Mao Yuan Luo 49 0 0 27 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 66 18 0 17 Feb 2022
Self-Supervised Representation Learning via Latent Graph Prediction Yaochen Xie Zhao Xu Shuiwang Ji SSL 70 33 0 16 Feb 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation Jun Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li 86 296 0 07 Feb 2022
ReGAE: Graph autoencoder based on recursive neural networks Adam Malkowski Jakub Grzechociñski Pawel Wawrzyñski GNN 42 0 0 28 Jan 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 110 21 0 24 Jan 2022
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang R. Devon Hjelm Xin Eric Wang Vibhav Vineet Neel Joshi Antonio Torralba Stefanie Jegelka Ya-heng Song NoLa 66 72 0 12 Jan 2022
Video Source Characterization Using Encoding and Encapsulation Characteristics Enes Altinisik Husrev Taha Sencar Diram Tabaa 35 9 0 09 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL 100 63 0 04 Jan 2022
Motif Graph Neural Network Xuexin Chen Ruichu Cai Yuan Fang Min-man Wu Zijian Li Zijian Li 65 22 0 30 Dec 2021
Self-Supervised Graph Representation Learning for Neuronal Morphologies Marissa A. Weis Laura Hansel Timo Lüddecke Alexander S. Ecker MedIm 78 8 0 23 Dec 2021
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation Rongrong Ma Guansong Pang Ling-Hao Chen Anton Van Den Hengel 72 93 0 19 Dec 2021
Learning to Model the Relationship Between Brain Structural and Functional Connectomes Yang Li Gonzalo Mateos Zhengwu Zhang 43 10 0 18 Dec 2021