DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,442 papers shown

Title
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs Feng Xia Lei Wang Tao Tang Xin Chen Xiangjie Kong G. Oatley Irwin King GNN 44 32 0 16 Feb 2022
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs Namyong Park Fuchen Liu Purvanshi Mehta D. Cristofor Christos Faloutsos Yuxiao Dong 29 85 0 15 Feb 2022
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey Jiaqi Wen Bogdan Gabrys Katarzyna Musial AI4CE 47 30 0 15 Feb 2022
Learning to Discover Medicines T. Nguyen Thin Nguyen T. Tran 36 1 0 14 Feb 2022
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings Malte Ostendorff Nils Rethmeier Isabelle Augenstein Bela Gipp Georg Rehm 37 73 0 14 Feb 2022
Adversarial Graph Contrastive Learning with Information Regularization Shengyu Feng Baoyu Jing Yada Zhu Yangqiu Song 22 65 0 14 Feb 2022
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network Mohammadreza Radmanesh Hossein Ghorbanzadeh Ahmad Asgharian Rezaei Mahdi Jalili Xinghuo Yu 11 4 0 13 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction Xiaotian Han Zhimeng Jiang Ninghao Liu Qingquan Song Jundong Li Xia Hu 39 21 0 13 Feb 2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph Ruijie Wang Zheng Li Danqing Zhang Qingyu Yin Tong Zhao Bing Yin Tarek Abdelzaher AI4TS 26 24 0 12 Feb 2022
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs Ciwan Ceylan Petra Poklukar Hanna Hultin Alexander Kravchenko Anastasia Varava Danica Kragic 34 1 0 08 Feb 2022
Bandit Sampling for Multiplex Networks Cenk Baykal Vamsi K. Potluru Sameena Shah Manuela Veloso 19 2 0 08 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 29 2 0 05 Feb 2022
Urban Region Profiling via A Multi-Graph Representation Learning Framework Y. Luo F. Chung Kai Chen 23 5 0 04 Feb 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction Guillaume Salha-Galvan J. Lutzeyer George Dasoulas Romain Hennequin Michalis Vazirgiannis 21 49 0 02 Feb 2022
Learning Robust Representation through Graph Adversarial Contrastive Learning Jiayan Guo Shangyang Li Yue Zhao Fei Huang 33 5 0 31 Jan 2022
SMGRL: Scalable Multi-resolution Graph Representation Learning Reza Namazi Elahe Ghalebi Sinead Williamson H. Mahyar 26 1 0 29 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 38 23 0 27 Jan 2022
Learning Stance Embeddings from Signed Social Graphs John N. Pougué-Biyong A. Gupta A. Haghighi Ahmed El-Kishky 49 19 0 27 Jan 2022
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification Sean Current Yuntian He Saket Gurukar Srinivas Parthasarathy 33 14 0 27 Jan 2022
On the Power of Gradual Network Alignment Using Dual-Perception Similarities Jin-Duk Park Cong Tran Won-Yong Shin Xin Cao 6 12 0 26 Jan 2022
Link Prediction with Contextualized Self-Supervision Daokun Zhang Jie Yin Philip S. Yu 24 6 0 25 Jan 2022
Multi-Graph Fusion Networks for Urban Region Embedding Shangbin Wu Xu Yan Xiaoliang Fan Shirui Pan Shichao Zhu Chuanpan Zheng Ming Cheng Cheng-i Wang 14 44 0 24 Jan 2022
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization B. Liu D. Papadopoulos Fragkiskos D. Malliaros Grigorios Tsoumakas A. Papadopoulos 19 7 0 24 Jan 2022
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach A. Tom Nesreen Ahmed George Karypis 22 1 0 22 Jan 2022
GlobalWalk: Learning Global-aware Node Embeddings via Biased Sampling Zhengrong Xue Ziao Guo Yiwei Guo 21 0 0 22 Jan 2022
Taxonomy Enrichment with Text and Graph Vector Representations Irina Nikishina M. Tikhomirov V. Logacheva Yuriy Nazarov Alexander Panchenko Natalia Loukachevitch 32 8 0 21 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 23 5 0 21 Jan 2022
Fair Node Representation Learning via Adaptive Data Augmentation Öykü Deniz Köse Yanning Shen 22 31 0 21 Jan 2022
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling Andrew Stolman Caleb C. Levy C. Seshadhri Aneesh Sharma GNN 16 11 0 20 Jan 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation Sixiao Zhang Hongxu Chen Xiangguo Sun Yicong Li Guandong Xu AAML SSL 30 42 0 20 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 27 33 0 20 Jan 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
SigGAN : Adversarial Model for Learning Signed Relationships in Networks Roshni Chakraborty Ritwika Das Joydeep Chandra GAN 36 7 0 17 Jan 2022
Towards Unsupervised Deep Graph Structure Learning Yixin Liu Yu Zheng Daokun Zhang Hongxu Chen Hao Peng Shirui Pan 27 185 0 17 Jan 2022
Detection of Correlated Alarms Using Graph Embedding Hossein Khaleghy I. Izadi 14 2 0 17 Jan 2022
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 34 46 0 14 Jan 2022
Structure Enhanced Graph Neural Networks for Link Prediction Baole Ai Zhou Qin Wen Shen Yong Li 24 7 0 14 Jan 2022
Automated Reinforcement Learning: An Overview Reza Refaei Afshar Yingqian Zhang Joaquin Vanschoren U. Kaymak OffRL 36 16 0 13 Jan 2022
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery Xiaoqi Wang Yingjie Cheng Yaning Yang Yue Yu Fei Li Shaoliang Peng 23 41 0 12 Jan 2022
Supervised Contrastive Learning for Recommendation Chun Yang 19 37 0 10 Jan 2022
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks Mubashir Imran Hongzhi Yin Tong Chen Zi Huang Kai Zheng 36 2 0 08 Jan 2022
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs Qiaoyu Tan Ninghao Liu Xiao Shi Huang Rui Chen Soo-Hyun Choi Xia Hu SSL 30 39 0 07 Jan 2022
Neighbor2vec: an efficient and effective method for Graph Embedding Zhiming Lin GNN 20 0 0 07 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 33 0 0 05 Jan 2022
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning Xingqun Qi Muyi Sun Zijian Wang Jiaming Liu Qi Li Fang Zhao Shanghang Zhang Caifeng Shan GAN CVBM 46 7 0 05 Jan 2022
Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via Event-based Sparse Temporal Attention Network Yan Pang Chao Liu 11 6 0 04 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 56 2 0 04 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL 32 61 0 04 Jan 2022
Graph Neural Networks: a bibliometrics overview Abdalsamad Keramatfar Mohadeseh Rafiee Hossein Amirkhani GNN AI4CE 43 24 0 03 Jan 2022
Semi-Supervised Graph Attention Networks for Event Representation Learning João Pedro Rodrigues Mattos R. Marcacini GNN 19 4 0 02 Jan 2022