Learning Structural Node Embeddings Via Diffusion Wavelets

27 October 2017

Papers citing "Learning Structural Node Embeddings Via Diffusion Wavelets"

50 / 52 papers shown

Title
Graph Linearization Methods for Reasoning on Graphs with Large Language Models Christos Xypolopoulos Guokan Shang Xiao Fei Giannis Nikolentzos Hadi Abdine Iakovos Evdaimon Michail Chatzianastasis Giorgos Stamou Michalis Vazirgiannis 19 1 0 25 Oct 2024
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 33 14 0 02 Nov 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 31 3 0 15 Aug 2023
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering Lukasz Brzozowski Grzegorz Siudem M. Gagolewski 36 1 0 21 Mar 2023
Trace Encoding in Process Mining: a survey and benchmarking Sylvio Barbon Junior Paolo Ceravolo R. Oyamada G. Tavares AI4TS 31 20 0 05 Jan 2023
Learning Optimal Graph Filters for Clustering of Attributed Graphs Meiby Ortiz-Bouza Selin Aviyente GNN 21 1 0 09 Nov 2022
A Framework for Collaborative Multi-Robot Mapping using Spectral Graph Wavelets Lukas Bernreiter Shehryar Khattak Lionel Ott Roland Siegwart Marco Hutter Cesar Cadena 32 4 0 25 Oct 2022
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings Disha Shur Yufan Huang D. Gleich 24 1 0 22 Jul 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 48 1 0 12 Jul 2022
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 71 205 0 31 May 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 42 67 0 04 Apr 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 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
Stratified Graph Spectra Fanchao Meng M. Orr Samarth Swarup 21 0 0 10 Jan 2022
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network M. Behmanesh Peyman Adibi M. Ehsani Jocelyn Chanussot 24 12 0 26 Nov 2021
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction Amur Ghose Vincent Zhang Yingxue Zhang Dong Li Wulong Liu Mark J. Coates 40 26 0 10 Nov 2021
Inferential SIR-GN: Scalable Graph Representation Learning Janet Layne Edoardo Serra GNN 13 9 0 08 Nov 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 15 49 0 24 Oct 2021
Role Similarity Metric Based on Spanning Rooted Forest Qi Bao Zhongzhi Zhang Haibin Kan 24 0 0 15 Oct 2021
Embedding Node Structural Role Identity Using Stress Majorization Lili Wang Chenghan Huang Weicheng Ma Ying Lu Soroush Vosoughi 8 4 0 14 Sep 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 35 11 0 03 Aug 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 32 131 0 11 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 21 11 0 19 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 45 6 0 27 Jan 2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings Benedek Rozemberczki Rik Sarkar 123 68 0 08 Jan 2021
MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosis Mo Zhang Quanzheng Li 15 14 0 29 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Embedding Node Structural Role Identity into Hyperbolic Space Lili Wang Ying Lu Chenghan Huang Soroush Vosoughi 11 15 0 03 Nov 2020
Dirichlet Graph Variational Autoencoder Jia Li Tomas Yu Jiajin Li Honglei Zhang Kangfei Zhao Yu Rong Hong Cheng Junzhou Huang BDL 24 52 0 09 Oct 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 23 12 0 31 Aug 2020
Exemplar-based Layout Fine-tuning for Node-link Diagrams Jiacheng Pan Wei Chen Xiaodong Zhao Shuyue Zhou Wei Zeng Minfeng Zhu Jian Chen Siwei Fu Yingcai Wu 13 12 0 03 Aug 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 23 134 0 18 Jun 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 43 931 0 17 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 50 1,586 0 15 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 27 287 0 15 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 39 161 0 14 Jun 2020
Blockchain is Watching You: Profiling and Deanonymizing Ethereum Users Ferenc Béres István András Seres András A. Benczúr Mikerah Quintyne-Collins 8 73 0 28 May 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Yizhou Sun Jiawei Han AI4TS 49 57 0 01 Apr 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 31 11 0 05 Mar 2020
How Robust Are Graph Neural Networks to Structural Noise? James Fox S. Rajamanickam NoLa OOD 12 21 0 21 Dec 2019
Network Embedding: An Overview Nino Arsov G. Mirceva GNN 14 24 0 26 Nov 2019
GraLSP: Graph Neural Networks with Local Structural Patterns Yilun Jin Guojie Song C. Shi 19 47 0 18 Nov 2019
GraphSAC: Detecting anomalies in large-scale graphs V. Ioannidis Dimitris Berberidis G. Giannakis 11 29 0 21 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
k-hop Graph Neural Networks Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 24 104 0 13 Jul 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 22 195 0 05 Jun 2019
DANE: Domain Adaptive Network Embedding Yizhou Zhang Guojie Song Lun Du Shuwen Yang Yilun Jin OOD 19 78 0 03 Jun 2019
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018