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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
Creating generalizable downstream graph models with random projections Anton Amirov Chris Quirk Jennifer Neville 40 1 0 17 Feb 2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs Nhat-Khang Ngô Truong-Son Hy Risi Kondor GNN BDL 56 2 0 17 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 85 8 0 16 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 124 148 0 16 Feb 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network Wenxuan Tu Bin Xiao Xinwang Liu Sihang Zhou Zhiping Cai Jieren Cheng 94 5 0 15 Feb 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment Meng Liu K. Liang Bin Xiao Wenxuan Tu Sihang Zhou Xihong Yang Xinwang Liu Yue Liu 112 72 0 15 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 136 13 0 14 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Hongzhi Zhang Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 120 15 0 13 Feb 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network Yifei Wang Yupan Wang Zeyu Zhang Song Yang Kaiqi Zhao Jiamou Liu OOD 46 5 0 12 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 165 2 0 09 Feb 2023
On Generalized Degree Fairness in Graph Neural Networks Zemin Liu Trung-Kien Nguyen Yuan Fang 77 28 0 08 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang Ming Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 137 19 0 06 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark Coates 98 9 0 06 Feb 2023
A Pre-training Framework for Knowledge Graph Completion Kuan Xu Kuo Yang Hanyang Dong Xinyan Wang Jian Yu Xuezhong Zhou 59 0 0 06 Feb 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs Xingyue Huang Miguel Romero .Ismail .Ilkan Ceylan Pablo Barceló 95 27 0 04 Feb 2023
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction Davide Costa Lucio La Cava Andrea Tagarelli 64 23 0 03 Feb 2023
Causal Lifting and Link Prediction Leonardo Cotta Beatrice Bevilacqua Nesreen Ahmed Bruno Ribeiro CML 118 5 0 02 Feb 2023
Neural Common Neighbor with Completion for Link Prediction Xiyuan Wang Hao-Ting Yang Muhan Zhang GNN LRM 153 56 0 02 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 108 10 0 31 Jan 2023
Causality-based CTR Prediction using Graph Neural Networks Panyu Zhai Yanwu Yang Chun-Hui Zhang CML GNN 79 32 0 30 Jan 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 103 9 0 29 Jan 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 102 3 0 29 Jan 2023
Node Injection for Class-specific Network Poisoning Ansh Sharma Rahul Kukreja Mayank Kharbanda Tanmoy Chakraborty AAML GNN 94 13 0 28 Jan 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 85 14 0 28 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 124 2 0 26 Jan 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 70 0 0 26 Jan 2023
STERLING: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing Yuchen Yan Kaize Ding Chanyoung Park Yada Zhu Huan Liu Hanghang Tong SSL 126 20 0 25 Jan 2023
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model Nikolaos Nakis Abdulkadir Çelikkanat Louis Boucherie Christian Djurhuus Felix Burmester Daniel Mathias Holmelund Monika Frolcová Morten Mørup 63 6 0 23 Jan 2023
GIPA: A General Information Propagation Algorithm for Graph Learning Houyi Li Zhihong Chen Zhao Li Qinkai Zheng Peng Zhang Shuigeng Zhou 80 0 0 19 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 88 8 0 18 Jan 2023
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs Luka V. Petrović Vincenzo Perri 56 0 0 16 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 104 8 0 12 Jan 2023
Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings Parisa Jamadi Khiabani A. Zubiaga 106 12 0 11 Jan 2023
Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk technique Wenting Li Jiahong Xue Xi Zhang Huacan Chen Zeyu Chen Feijuan Huang Yuanzhe Cai 3DV AI4TS 21 2 0 11 Jan 2023
Trace Encoding in Process Mining: a survey and benchmarking Sylvio Barbon Junior Paolo Ceravolo R. Oyamada G. Tavares AI4TS 88 21 0 05 Jan 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 81 4 0 04 Jan 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning Lu Jiang Yibin Wang Jianan Wang Pengyang Wang Minghao Yin 30 2 0 01 Jan 2023
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 77 0 0 29 Dec 2022
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings Ryan Aponte Ryan Rossi Shunan Guo Jane Hoffswell Nedim Lipka Chang Xiao G. Chan Eunyee Koh Nesreen Ahmed GNN 82 11 0 28 Dec 2022
PersonaSAGE: A Multi-Persona Graph Neural Network G. Choudhary I. Burhanuddin Eunyee Koh F. Du Ryan Rossi 69 0 0 28 Dec 2022
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives Wenjin Xie Siyuan Liu Xiaomeng Wang Tao Jia 61 7 0 24 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 93 1 0 24 Dec 2022
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations Abdulkadir Çelikkanat Nikolaos Nakis Morten Mørup 87 6 0 23 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 133 5 0 17 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs Peiyao Zhao Yuangang Pan Xin Li Xu Chen Ivor W. Tsang L. Liao SSL 71 5 0 13 Dec 2022
Dynamic Graph Node Classification via Time Augmentation Jiarui Sun Mengting Gu Chin-Chia Michael Yeh Yujie Fan Girish Chowdhary Wei Zhang 48 4 0 07 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification Jun-Liang Lin Yuan Wan Jingwen Xu X. Qi 127 0 0 04 Dec 2022
Interpretable Node Representation with Attribute Decoding Xiaohui Chen Xi Chen Liping Liu 86 4 0 03 Dec 2022
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction Xiaoting Li Yuhang Wu Vineeth Rakesh Yusan Lin Hao Yang Fei Wang GNN 72 8 0 02 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 98 91 0 02 Dec 2022