Anonymous Walk Embeddings

30 May 2018

Papers citing "Anonymous Walk Embeddings"

33 / 33 papers shown

Title
Ensemble of Random and Isolation Forests for Graph-Based Intrusion Detection in Containers Alfonso Iacovazzi S. Raza 17 4 0 26 Jun 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 39 14 0 12 Apr 2023
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification Lu Bai Lixin Cui Yue Wang Ming Li Edwin R. Hancock 19 41 0 05 Nov 2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies Xue Liu Dan Sun X. Cao Hao Ye Wei Wei 20 0 0 02 Oct 2022
Distributed representations of graphs for drug pair scoring P. Scherer Pietro Lio M. Jamnik 36 2 0 19 Sep 2022
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding Sarmad N. Mohammed Semra Gunducc 26 1 0 07 Aug 2022
Pattern Analysis of Money Flow in the Bitcoin Blockchain Natkamon Tovanich Rémy Cazabet 33 5 0 15 Jul 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 46 0 0 31 May 2022
High Performance of Gradient Boosting in Binding Affinity Prediction Dmitrii Gavrilev Nurlybek Amangeldiuly Sergei Ivanov Evgeny Burnaev AI4CE 33 2 0 14 May 2022
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks X. Guo Pengfei Jiao Ting Pan Wang Zhang Mengyu Jia Danyang Shi Wenjun Wang 27 1 0 18 Jan 2022
Capsule Graph Neural Networks with EM Routing Yu Lei Jing Zhang GNN 21 5 0 18 Oct 2021
Distribution Knowledge Embedding for Graph Pooling Kaixuan Chen Mingli Song Shunyu Liu Na Yu Zunlei Feng Gengshi Han Xiuming Zhang GNN 30 22 0 29 Sep 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels Qingqing Long Yilun Jin Yi Wu Guojie Song 44 37 0 07 Apr 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning Phillip S. Yu Lifang He 24 162 0 20 Jan 2021
Label Contrastive Coding based Graph Neural Network for Graph Classification Yuxiang Ren Jiyang Bai Jiawei Zhang 34 26 0 14 Jan 2021
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 24 30 0 16 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space Jianming Huang Zhongxi Fang Hiroyuki Kasai 23 19 0 07 Dec 2020
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs Gilles Vandewiele Bram Steenwinckel P. Bonte Michael Weyns Heiko Paulheim Petar Ristoski F. Turck F. Ongenae 16 17 0 09 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 32 158 0 07 Sep 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 19 80 0 20 Jul 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 58 424 0 16 Jun 2020
Segmented Graph-Bert for Graph Instance Modeling Jiawei Zhang SSeg 25 6 0 09 Feb 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 45 277 0 29 Dec 2019
GraLSP: Graph Neural Networks with Local Structural Patterns Yilun Jin Guojie Song C. Shi 19 47 0 18 Nov 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 29 0 0 26 Sep 2019
Universal Graph Transformer Self-Attention Networks D. Q. Nguyen T. Nguyen Dinh Q. Phung ViT 31 63 0 26 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 17 5 0 06 Sep 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 50 840 0 31 Jul 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 23 268 0 30 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 25 563 0 27 May 2019
Learning Vertex Convolutional Networks for Graph Classification Lu Bai Lixin Cui Shu Wu Yuhang Jiao Edwin R. Hancock GNN 19 1 0 26 Feb 2019
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications A. Narayanan C. Soh Lihui Chen Yang Liu Lipo Wang SSL 11 26 0 15 Sep 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016