VERSE: Versatile Graph Embeddings from Similarity Measures

13 March 2018

Papers citing "VERSE: Versatile Graph Embeddings from Similarity Measures"

50 / 104 papers shown

Title
Learning Graph Node Embeddings by Smooth Pair Sampling Konstantin Kutzkov 43 0 0 22 Jan 2025
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Yichun Yang Rong-Hua Li Meihao Liao Longlong Lin Guoren Wang 66 0 0 14 Dec 2024
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity Dongyue Li Aneesh Sharma Hongyang R. Zhang 67 2 0 09 Sep 2024
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding Longlong Lin Yunfeng Yu Zihao Wang Zeli Wang Yuying Zhao Jin Zhao Tao Jia 38 0 0 05 Aug 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 39 2 0 08 Jun 2024
Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective Xingyi Zhang Zixuan Weng Sibo Wang 30 4 0 30 May 2024
Effective Clustering on Large Attributed Bipartite Graphs Renchi Yang Yidu Wu Xiaoyang Lin Qichen Wang Tsz Nam Chan Jieming Shi 28 3 0 20 May 2024
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model Nikolaos Nakis Abdulkadir Çelikkanat Louis Boucherie Sune Lehmann Morten Morup 29 0 0 28 Feb 2024
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation Yuanyi Wang Wei Tang Haifeng Sun Zirui Zhuang Xiaoyuan Fu Jingyu Wang Qi Qi Jianxin Liao 28 1 0 05 Feb 2024
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure Anton Tsitsulin Bryan Perozzi 32 5 0 08 Dec 2023
On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 18 1 0 06 Dec 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 31 5 0 24 Sep 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views Asif Khan Amos Storkey 24 1 0 19 Aug 2023
HUGE: Huge Unsupervised Graph Embeddings with TPUs Brandon Mayer Anton Tsitsulin Hendrik Fichtenberger Jonathan J. Halcrow Bryan Perozzi GNN 13 1 0 26 Jul 2023
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities Dongyue Li Haotian Ju Aneesh Sharma Hongyang R. Zhang 66 8 0 24 Jun 2023
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds Haoran Deng Yang Yang Jiahe Li Haoyang Cai Shi Pu Weihao Jiang 30 5 0 15 Jun 2023
Unsupervised Embedding Quality Evaluation Anton Tsitsulin Marina Munkhoeva Bryan Perozzi SSL 16 6 0 26 May 2023
Zoo Guide to Network Embedding Anthony Baptista Rubén J. Sánchez-García A. Baudot Ginestra Bianconi GNN 13 6 0 05 May 2023
Distributed Graph Embedding with Information-Oriented Random Walks Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 18 11 0 28 Mar 2023
LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling Konstantin Kutzkov 8 5 0 28 Nov 2022
Recommending Related Products Using Graph Neural Networks in Directed Graphs Srinivas Virinchi Anoop Saladi Abhirup Mondal 30 7 0 18 Nov 2022
Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN Md Nurul Muttakin Md. Iqbal Hossain Md Saidur Rahman GNN 22 2 0 20 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 24 41 0 11 Oct 2022
Set2Box: Similarity Preserving Representation Learning of Sets Geon Lee Chanyoung Park Kijung Shin 13 2 0 07 Oct 2022
A Systematic Evaluation of Node Embedding Robustness Alexandru Mara Jefrey Lijffijt Stephan Günnemann T. D. Bie AAML 22 0 0 16 Sep 2022
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank Alessandro Epasto Vahab Mirrokni Bryan Perozzi Anton Tsitsulin Peilin Zhong 24 23 0 14 Jul 2022
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems Chen Ling Junji Jiang Junxiang Wang Liang Zhao DiffM 30 46 0 24 Jun 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 39 109 0 04 Apr 2022
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods Md. Khaledur Rahman A. Azad AI4TS 27 3 0 20 Dec 2021
Learning Large-scale Network Embedding from Representative Subgraph Junsheng Kong Weizhao Li Ben Liao J. Qiu Chang-Yu Hsieh Hsieh Yijin Cai Jin-Hui Zhu Shengyu Zhang GNN 18 1 0 02 Dec 2021
Topic-aware latent models for representation learning on networks Abdulkadir Çelikkanat Fragkiskos D. Malliaros BDL 16 5 0 10 Nov 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 18 49 0 24 Oct 2021
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations Maximilian Krahn Florian Bernard Vladislav Golyanik 13 1 0 21 Oct 2021
Boosting Graph Embedding on a Single GPU Amro Alabsi Aljundi Taha Atahan Akyildiz K. Kaya GNN 13 0 0 19 Oct 2021
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding Jingya Zhou Ling Liu Wenqi Wei Jianxi Fan AI4TS 43 73 0 14 Oct 2021
Network representation learning systematic review: ancestors and current development state Amina Amara Mohamed Ali Hadj Taieb M. Benaouicha AI4TS GNN 25 23 0 14 Sep 2021
QUINT: Node embedding using network hashing Debajyoti Bera Rameshwar Pratap Bhisham Dev Verma Biswadeep Sen Tanmoy Chakraborty GNN 27 3 0 09 Sep 2021
An Analytical Survey on Recent Trends in High Dimensional Data Visualization Alex B. Kiefer Md. Khaledur Rahman AI4TS 14 2 0 05 Jul 2021
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN Xiaoqi Wang Kevin Yen Yifan Hu Han-Wei Shen GNN 31 19 0 27 Jun 2021
Leveraging semantically similar queries for ranking via combining representations Hayden S. Helm Marah Abdin B. Pedigo Shweti Mahajan V. Lyzinski ... A. Basu Piali Choudhury Christopher M. White Weiwei Yang Carey E. Priebe FedML 8 1 0 23 Jun 2021
Learning Based Proximity Matrix Factorization for Node Embedding Xingyi Zhang Kun Xie Sibo Wang Zengfeng Huang GNN 29 31 0 10 Jun 2021
Multiple Kernel Representation Learning on Networks Abdulkadir Çelikkanat Yanning Shen Fragkiskos D. Malliaros 13 5 0 09 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 Robust and Generalized Framework for Adversarial Graph Embedding Jianxin Li Xingcheng Fu Hao Peng Senzhang Wang Shijie Zhu Qingyun Sun Philip S. Yu Lifang He 24 16 0 22 May 2021
Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling Yu Zhu A. Swami Santiago Segarra 23 5 0 19 May 2021
Network Embedding via Deep Prediction Model Xin Sun Zenghui Song Yongbo Yu Junyu Dong Claudia Plant Christian Boehm GNN 19 2 0 27 Apr 2021
Evaluating Node Embeddings of Complex Networks Arash Dehghan-Kooshkghazi Bogumil Kamiñski Lukasz Kraiñski P. Prałat F. Théberge GNN 9 18 0 16 Feb 2021
COLOGNE: Coordinated Local Graph Neighborhood Sampling Konstantin Kutzkov 16 0 0 09 Feb 2021
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme Barbara Rychalska Piotr Bkabel Konrad Goluchowski Andrzej Michalowski Jacek Dkabrowski 28 17 0 03 Feb 2021