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1011.4071
Cited By
Supervised Random Walks: Predicting and Recommending Links in Social Networks
17 November 2010
L. Backstrom
J. Leskovec
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Papers citing
"Supervised Random Walks: Predicting and Recommending Links in Social Networks"
50 / 95 papers shown
Edged Weisfeiler-Lehman Algorithm
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Persuasion Gains and Losses from Peer Communication
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Random Walk Learning and the Pac-Man Attack
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Improving Community Detection in Academic Networks by Handling Publication Bias
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Network classification through random walks
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Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
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Junliang Yu
Kai Zheng
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GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
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Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures
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244
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28 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs
Neural Information Processing Systems (NeurIPS), 2023
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10 Jan 2025
Context-Aware Deep Learning for Multi Modal Depression Detection
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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26 Dec 2024
Convergence Guarantees for the DeepWalk Embedding on Block Models
International Conference on Machine Learning (ICML), 2024
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192
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DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
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Xiao Luo
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284
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Analysis of Corrected Graph Convolutions
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Leveraging Temporal Graph Networks Using Module Decoupling
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A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
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Zemin Liu
Yuan N. Li
Nan-Fang Chen
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Bryan Hooi
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26 Aug 2023
Recommender Systems for Online and Mobile Social Networks: A survey
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28 Jun 2023
Improving Link Prediction in Social Networks Using Local and Global Features: A Clustering-based Approach
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Ahmad Zarei
195
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17 May 2023
Towards Real-Time Temporal Graph Learning
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Deniz Gurevin
Mohsin Shan
Tong Geng
Weiwen Jiang
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244
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08 Oct 2022
Towards Better Evaluation for Dynamic Link Prediction
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Farimah Poursafaei
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320
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20 Jul 2022
A Simple yet Effective Method for Graph Classification
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SigMaNet: One Laplacian to Rule Them All
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317
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Diversity Preference-Aware Link Recommendation for Online Social Networks
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285
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Effects of Graph Convolutions in Multi-layer Networks
International Conference on Learning Representations (ICLR), 2022
Aseem Baranwal
Kimon Fountoulakis
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349
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20 Apr 2022
Unsupervised Feature Ranking via Attribute Networks
IFIP Working Conference on Database Semantics (IWDS), 2021
U. Primozic
Blaž Škrlj
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213
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Wasserstein Adversarially Regularized Graph Autoencoder
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Structural Optimization Makes Graph Classification Simpler and Better
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Jianhao Li
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169
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Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy
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Chitrank Gupta
Yash Jain
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200
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Graph2Pix: A Graph-Based Image to Image Translation Framework
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Enis Simsar
Efehan Atici
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195
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22 Aug 2021
Graph Sanitation with Application to Node Classification
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Boxin Du
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244
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19 May 2021
Graph Learning based Recommender Systems: A Review
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Liang Hu
Yan Wang
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344
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13 May 2021
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
International Conference on Machine Learning (ICML), 2021
Willie Neiswanger
Ke Alexander Wang
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315
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19 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks
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342
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18 Apr 2021
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
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370
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18 Feb 2021
Graph Classification Based on Skeleton and Component Features
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Xue-bo Liu
Wei Wei
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137
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02 Feb 2021
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network
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02 Jan 2021
Learning Parameters for Balanced Index Influence Maximization
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Manqing Ma
Gyorgy Korniss
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195
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Adversarial Permutation Guided Node Representations for Link Prediction
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Indradyumna Roy
A. De
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376
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13 Dec 2020
Markov Chain-Based Stochastic Strategies for Robotic Surveillance
Xiaoming Duan
Francesco Bullo
242
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20 Aug 2020
Random Walks: A Review of Algorithms and Applications
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2020
Xiwei Xu
Jiaying Liu
Hansong Nie
Yonghao Fu
Liangtian Wan
X. Kong
262
249
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09 Aug 2020
Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs
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Xing Li
Wei Wei
Xiangnan Feng
Xue Liu
Zhiming Zheng
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141
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31 Jul 2020
Next Waves in Veridical Network Embedding
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Zhen Huang
Andrew Davison
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370
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Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach
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215
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02 Jul 2020
Space-Time Correspondence as a Contrastive Random Walk
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Andrew Owens
Alexei A. Efros
SSL
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484
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25 Jun 2020
Wasserstein Embedding for Graph Learning
Soheil Kolouri
Navid Naderializadeh
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335
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Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures
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Jatin Chauhan
Deepak Nathani
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213
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27 Feb 2020
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
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Minghong Fang
Neil Zhenqiang Gong
Jia-Wei Liu
TDI
374
184
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19 Feb 2020
Robotic Surveillance Based on the Meeting Time of Random Walks
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Mishel George
Rushabh Patel
Francesco Bullo
153
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04 Dec 2019
Differentially Private Link Prediction With Protected Connections
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Soumen Chakrabarti
258
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Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank
Proceedings of the VLDB Endowment (PVLDB), 2019
Renchi Yang
Jieming Shi
Xiaokui Xiao
Yifan Yang
S. Bhowmick
532
76
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17 Jun 2019
Language in Our Time: An Empirical Analysis of Hashtags
The Web Conference (WWW), 2019
Yang Zhang
251
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11 May 2019
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