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DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 106 225 0 12 Oct 2019
Spectral embedding of weighted graphs Ian Gallagher Andrew Jones A. Bertiger Carey Priebe Patrick Rubin-Delanchy 119 16 0 12 Oct 2019
Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases Maximilian Idahl Megha Khosla Avishek Anand 33 10 0 11 Oct 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 70 14 0 10 Oct 2019
Learning event representations for temporal segmentation of image sequences by dynamic graph embedding Mariella Dimiccoli H. Wendt AI4TS 77 0 0 08 Oct 2019
On the Interpretability and Evaluation of Graph Representation Learning Antonia Gogoglou C. Bayan Bruss Keegan E. Hines 67 7 0 07 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 155 168 0 07 Oct 2019
Effective Stabilized Self-Training on Few-Labeled Graph Data Ziang Zhou Jieming Shi Shengzhong Zhang Zengfeng Huang Qing Li 160 16 0 07 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 71 24 0 06 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 115 106 0 06 Oct 2019
Dynamic Embedding on Textual Networks via a Gaussian Process Pengyu Cheng Yitong Li D. Ponsa Liqun Cheng David Carlson Gary R. Bradski 40 10 0 05 Oct 2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks Tengfei Ma Junyuan Shang Cao Xiao Jimeng Sun GNN 124 13 0 04 Oct 2019
Dynamic Joint Variational Graph Autoencoders Sedigheh Mahdavi Shima Khoshraftar Aijun An BDL 59 24 0 04 Oct 2019
Learning Robust Representations with Graph Denoising Policy Network Lu Wang Wenchao Yu Wei Wang Wei Cheng Wei Zhang H. Zha Xiaofeng He Haifeng Chen OOD 62 27 0 04 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain M. Rahmani Maria Liakata GNN 69 3 0 03 Oct 2019
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection Thomas Magelinski David M. Beskow Kathleen M. Carley 87 29 0 02 Oct 2019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks Guillaume Salha-Galvan Romain Hennequin Michalis Vazirgiannis GNN BDL 107 51 0 02 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 118 27 0 01 Oct 2019
A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data X. Guo A. Srivastava Sudeep Sarkar 70 14 0 30 Sep 2019
Spread-gram: A spreading-activation schema of network structural learning Jie Bai Linjing Li D. Zeng GNN 32 0 0 30 Sep 2019
Improving Textual Network Learning with Variational Homophilic Embeddings Wenlin Wang Chenyang Tao Zhe Gan Guoyin Wang Liqun Chen Xinyuan Zhang Ruiyi Zhang Qian Yang Ricardo Henao Lawrence Carin DRL 47 16 0 30 Sep 2019
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application Carl Yang Xiaolin Shi Luo Jie Jiawei Han HAI 83 83 0 29 Sep 2019
Neural Embedding Propagation on Heterogeneous Networks Carl Yang Jieyu Zhang Jiawei Han 100 20 0 29 Sep 2019
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights Carl Yang Yichen Feng Pan Li Yu Shi Jiawei Han 86 42 0 29 Sep 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 317 869 0 28 Sep 2019
Overlapping Community Detection with Graph Neural Networks Oleksandr Shchur Stephan Günnemann GNN 80 133 0 26 Sep 2019
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs Qimai Li Xiaotong Zhang Han Liu Quanyu Dai Xiao-Ming Wu GNN SSL 135 15 0 26 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 85 20 0 25 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 111 62 0 25 Sep 2019
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions Shupeng Gui Xiangliang Zhang Pan Zhong Shuang Qiu Mingrui Wu Jieping Ye Zhengdao Wang Ji Liu 92 15 0 25 Sep 2019
Semi-supervised classification on graphs using explicit diffusion dynamics Robert L. Peach Alexis Arnaudon Mauricio Barahona GNN DiffM 58 15 0 24 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 90 680 0 17 Sep 2019
Stacking Models for Nearly Optimal Link Prediction in Complex Networks Amir Ghasemian Homa Hosseinmardi Aram Galstyan E. Airoldi A. Clauset 89 133 0 17 Sep 2019
DyANE: Dynamics-aware node embedding for temporal networks Koya Sato Mizuki Oka Alain Barrat C. Cattuto AI4TS AI4CE 98 16 0 12 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation Jiawei Zhang Lin Meng 110 54 0 12 Sep 2019
Temporal Network Embedding with Micro- and Macro-dynamics Yuanfu Lu Tianlin Li C. Shi Philip S. Yu Yanfang Ye AI4TS AI4CE 104 120 0 10 Sep 2019
Hypergraph Partitioning With Embeddings Justin Sybrandt Ruslan Shaydulin Ilya Safro 73 11 0 09 Sep 2019
Kernel Node Embeddings Abdulkadir Çelikkanat Fragkiskos D. Malliaros 41 2 0 08 Sep 2019
Distributed Training of Embeddings using Graph Analytics G. Gill Roshan Dathathri Saeed Maleki Madan Musuvathi Todd Mytkowicz Olli Saarikivi The University of Texas at Austin GNN 55 1 0 08 Sep 2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding Yu He Yangqiu Song Jianxin Li Cheng Ji Jian Peng Hao Peng 89 112 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Helen Zhou GNN 138 187 0 07 Sep 2019
Parallel Computation of Graph Embeddings Chi Thang Duong Hongzhi Yin Thanh Dat Hoang Truong Giang Le Ba Matthias Weidlich Quoc Viet Hung Nguyen Karl Aberer GNN 29 2 0 06 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 115 96 0 04 Sep 2019
GmCN: Graph Mask Convolutional Network A. Jung Beibei Wang Jin Tang Bin Luo 54 1 0 04 Sep 2019
Adversarial Robustness of Similarity-Based Link Prediction Kai Zhou Tomasz P. Michalak Yevgeniy Vorobeychik AAML 77 33 0 03 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 315 763 0 03 Sep 2019
Graph Representation Learning: A Survey Fenxiao Chen Yun Cheng Wang Bin Wang C.-C. Jay Kuo GNN AI4TS 78 208 0 03 Sep 2019
Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation Hongdong Zheng Yalong Bai Wei Zhang Tao Mei 48 1 0 02 Sep 2019
Single Training Dimension Selection for Word Embedding with PCA Yu Wang 60 15 0 30 Aug 2019
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning Zhuoren Jiang Jian Wang Lujun Zhao Changlong Sun Yao Lu Xiaozhong Liu 29 6 0 30 Aug 2019