DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
Node Injection for Class-specific Network Poisoning Ansh Sharma Rahul Kukreja Mayank Kharbanda Tanmoy Chakraborty AAML GNN 28 12 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 37 14 0 28 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 55 2 0 26 Jan 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 21 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 34 19 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 29 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 49 0 0 19 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 34 7 0 18 Jan 2023
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs Luka V. Petrović Vincenzo Perri 11 0 0 16 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 34 7 0 12 Jan 2023
Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings Parisa Jamadi Khiabani A. Zubiaga 34 10 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 11 2 0 11 Jan 2023
Trace Encoding in Process Mining: a survey and benchmarking Sylvio Barbon Junior Paolo Ceravolo R. Oyamada G. Tavares AI4TS 36 20 0 05 Jan 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 20 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 18 2 0 01 Jan 2023
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 29 0 0 29 Dec 2022
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings Ryan Aponte Ryan A. Rossi Shunan Guo Jane Hoffswell Nedim Lipka Chang Xiao G. Chan E. Koh Nesreen Ahmed GNN 45 11 0 28 Dec 2022
PersonaSAGE: A Multi-Persona Graph Neural Network G. Choudhary I. Burhanuddin Eunyee Koh F. Du Ryan A. Rossi 35 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 11 6 0 24 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 33 1 0 24 Dec 2022
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations Abdulkadir Çelikkanat Nikolaos Nakis Morten Mørup 59 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 37 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 47 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 26 1 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 36 0 0 04 Dec 2022
Interpretable Node Representation with Attribute Decoding Xiaohui Chen Xi Chen Liping Liu 37 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 36 7 0 02 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 50 87 0 02 Dec 2022
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks Wentai Zhang Joe Joseph Yueyan Yin Liuyue Xie T. Furuhata Soji Yamakawa Kenji Shimada L. Kara 43 12 0 01 Dec 2022
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation Yingxi Chen Siwei Qiang Mingming Ha Xiaolei Liu Shaoshuai Li Lingfeng Yuan Xiaobo Guo Zheng Hua Zhu 21 2 0 30 Nov 2022
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness Jingcan Duan Bin Xiao Siwei Wang Haifang Zhou Xinwang Liu AI4TS 22 10 0 28 Nov 2022
LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling Konstantin Kutzkov 22 5 0 28 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 38 5 0 27 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 40 6 0 27 Nov 2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks Zhen-Ji Huang Yunyang Huang Peng Qian Jianhai Chen Qinming He GNN 33 6 0 26 Nov 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 36 71 0 25 Nov 2022
Supervised Hypergraph Reconstruction Yanbang Wang Jon M. Kleinberg 27 2 0 23 Nov 2022
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer Yuqi Chen Hanyuan Zhang Weiwei Sun B. Zheng 39 39 0 23 Nov 2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks Xinyu Fu Irwin King 40 16 0 23 Nov 2022
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks K. Kishan Rui Li Paribesh Regmi Anne R. Haake 19 1 0 22 Nov 2022
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective Yige Yuan Bingbing Xu Huawei Shen Qi Cao Keting Cen Wen Zheng Xueqi Cheng 27 13 0 20 Nov 2022
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Hong Wang Jieyu Zhang Qi Zhu Wei Huang Kenji Kawaguchi X. Xiao 44 11 0 20 Nov 2022
A survey on knowledge-enhanced multimodal learning Maria Lymperaiou Giorgos Stamou 46 14 0 19 Nov 2022
ReInform: Selecting paths with reinforcement learning for contextualized link prediction M. Speranskaya Sameh Methias Benjamin Roth KELM LRM 24 0 0 19 Nov 2022
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model Sarwan Ali 24 5 0 19 Nov 2022
Recommending Related Products Using Graph Neural Networks in Directed Graphs Srinivas Virinchi Anoop Saladi Abhirup Mondal 30 7 0 18 Nov 2022
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning Yuntian He Saket Gurukar Srinivas Parthasarathy FaML 29 3 0 17 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 22 40 0 17 Nov 2022
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction Guillaume Salha-Galvan J. Lutzeyer George Dasoulas Romain Hennequin Michalis Vazirgiannis 31 2 0 16 Nov 2022
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network Heng Chang Bingbing Xu Qi Cao Yige Yuan Huawei Shen 21 0 0 16 Nov 2022