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1003.2429
Cited By
Predicting Positive and Negative Links in Online Social Networks
The Web Conference (WWW), 2010
11 March 2010
J. Leskovec
D. Huttenlocher
Jon M. Kleinberg
Re-assign community
ArXiv (abs)
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Papers citing
"Predicting Positive and Negative Links in Online Social Networks"
50 / 134 papers shown
A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization
Zhiyuan Wang
Shengcai Liu
Shaofeng Zhang
Ke Tang
66
0
0
29 Nov 2025
CGLE: Class-label Graph Link Estimator for Link Prediction
Ankit Mazumder
Srikanta Bedathur
159
0
0
10 Nov 2025
Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
Benjamin Laufer
Hamidah Oderinwale
Jon M. Kleinberg
MedIm
119
6
0
09 Aug 2025
Learning Partitions with Optimal Query and Round Complexities
Annual Conference Computational Learning Theory (COLT), 2025
Hadley Black
A. Mazumdar
B. Saha
143
0
0
08 May 2025
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
International Conference on Learning Representations (ICLR), 2025
Nikolaos Nakis
Niels Raunkjær Holm
Andreas Lyhne Fiehn
Morten Mørup
319
1
0
03 Mar 2025
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Xu Chu
Hanlin Xue
Bingce Wang
Xiaoyang Liu
Weiping Li
Tong Mo
Tuoyu Feng
Zhijie Tan
187
0
0
20 Jan 2025
Efficient Dynamic Attributed Graph Generation
IEEE International Conference on Data Engineering (ICDE), 2024
Fan Li
Xiaoyang Wang
Dawei Cheng
Cong Chen
Yanzhe Zhang
Xuemin Lin
192
6
0
11 Dec 2024
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2024
Zeyu Zhang
Lu Li
Shuyan Wan
Sijie Wang
Zhiyi Wang
Zhiyuan Lu
Dong Hao
Wanli Li
228
4
0
29 Sep 2024
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Nikolaos Nakis
Chrysoula Kosma
Giannis Nikolentzos
Michalis Chatzianastasis
Iakovos Evdaimon
Michalis Vazirgiannis
483
2
0
16 Sep 2024
Boosting Graph Foundation Model from Structural Perspective
Yao Cheng
Yige Zhao
Jianxiang Yu
Xiang Li
368
5
0
29 Jul 2024
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies
Akhil Bhimaraju
Eliot W. Robson
Lav Varshney
A. Umrawal
122
4
0
08 Jul 2024
Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
Samarth Khanna
Sree Bhattacharyya
Sudipto Ghosh
Kushagra Agarwal
Asit Kumar Das
GNN
AI4TS
132
2
0
13 Mar 2024
Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions
Quentin Hillebrand
Vorapong Suppakitpaisarn
Tetsuo Shibuya
245
8
0
12 Dec 2023
Prioritized Propagation in Graph Neural Networks
Yao Cheng
Minjie Chen
Xiang Li
Caihua Shan
Ming Gao
AI4CE
186
0
0
06 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
Chunping Wang
Yang Yang
AI4CE
445
22
0
02 Nov 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
Knowledge Discovery and Data Mining (KDD), 2023
Yao Cheng
Caihua Shan
Yifei Shen
Xiang Li
Siqiang Luo
Dongsheng Li
330
9
0
25 Oct 2023
Local Differential Privacy for Number of Paths and Katz Centrality
Louis Betzer
Vorapong Suppakitpaisarn
Quentin Hillebrand
207
0
0
21 Oct 2023
CSG: Curriculum Representation Learning for Signed Graph
Neural Networks (Neural Netw.), 2023
Zeyu Zhang
Jiamou Liu
Kaiqi Zhao
Yifei Wang
Pengqian Han
Xianda Zheng
Qiqi Wang
Zijian Zhang
123
1
0
17 Oct 2023
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
Zeyu Zhang
Shuyan Wan
Sijie Wang
Xianda Zheng
Xinrui Zhang
Kaiqi Zhao
Jiamou Liu
Dong Hao
168
2
0
15 Oct 2023
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning
International Conference on Computing, Networking and Communications (ICNC), 2023
Jialong Zhou
Y. Lai
Jian Ren
Wei Song
AAML
187
6
0
05 Sep 2023
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Min-Jeong Kim
Yeon-Chang Lee
David Y. Kang
Sang-Wook Kim
241
0
0
02 Sep 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
Advances in Complex Systems (ACS), 2023
Nikolaos Nakis
Abdulkadir Çelikkanat
Morten Mørup
153
0
0
29 Aug 2023
Graph Automorphism Group Equivariant Neural Networks
International Conference on Machine Learning (ICML), 2023
Edward Pearce-Crump
William J. Knottenbelt
272
2
0
15 Jul 2023
Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions
Information Sciences (Inf. Sci.), 2023
Geonwoo Ko
Jinhong Jung
163
6
0
06 Jul 2023
A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zhihong Fang
Shaolin Tan
Yaonan Wang
120
7
0
17 May 2023
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2023
Cencheng Shen
Jonathan Larson
Ha Trinh
Xihan Qin
V. Prisacariu
Carey E. Priebe
237
9
0
03 May 2023
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
International Conference on Learning Representations (ICLR), 2023
Sara Szymkuć
Yu Zhang
Yu Meng
Jiawei Han
203
38
0
21 Feb 2023
On Manipulating Weight Predictions in Signed Weighted Networks
AAAI Conference on Artificial Intelligence (AAAI), 2023
Tomasz Lizurej
Tomasz P. Michalak
Stefan Dziembowski
AAML
93
4
0
06 Feb 2023
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Nikolaos Nakis
Abdulkadir Çelikkanat
Louis Boucherie
Christian Djurhuus
Felix Burmester
Daniel Mathias Holmelund
Monika Frolcová
Morten Mørup
337
8
0
23 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Taewook Ko
Yoonhyuk Choi
Chong-Kwon Kim
167
3
0
12 Jan 2023
A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes
Aaryan Gupta
Inder Khatri
Arjun Choudhry
Pranav Chandhok
Dinesh Kr. Vishwakarma
Mukesh Prasad
87
2
0
17 Nov 2022
Graph Summarization via Node Grouping: A Spectral Algorithm
Web Search and Data Mining (WSDM), 2022
Arpit Merchant
M. Mathioudakis
Yanhao Wang
133
5
0
08 Nov 2022
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jong-whi Lee
Jinhong Jung
295
18
0
02 Nov 2022
Signed Latent Factors for Spamming Activity Detection
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Yuli Liu
233
4
0
28 Sep 2022
Sparse Vicious Attacks on Graph Neural Networks
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Giovanni Trappolini
Valentino Maiorca
Silvio Severino
Emanuele Rodolà
Fabrizio Silvestri
Gabriele Tolomei
AAML
140
8
0
20 Sep 2022
Analyzing and visualizing polarization and balance with signed networks: the U.S. Congress case study
A. Capozzi
Alfonso Semeraro
G. Ruffo
160
3
0
01 Sep 2022
Link prediction with continuous-time classical and quantum walks
Mark Goldsmith
Guillermo García-Pérez
Joonas Malmi
M. Rossi
Harto Saarinen
Sabrina Maniscalco
108
19
0
23 Aug 2022
Signed Graph Neural Networks: A Frequency Perspective
Rahul Singh
Yongxin Chen
138
13
0
15 Aug 2022
Local Graph Embeddings Based on Neighbors Degree Frequency of Nodes
Vahid Shirbisheh
GNN
63
0
0
30 Jul 2022
A Community-Aware Framework for Social Influence Maximization
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2022
A. Umrawal
Christopher J. Quinn
Vaneet Aggarwal
169
27
0
18 Jul 2022
Signed Network Embedding with Application to Simultaneous Detection of Communities and Anomalies
H. Zhang
Junhui Wang
190
2
0
08 Jul 2022
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Yulin Zhu
Tomasz P. Michalak
Xiapu Luo
Xiaoge Zhang
Wei Song
AAML
218
2
0
27 Jun 2022
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yulin Zhu
Y. Lai
Kaifa Zhao
Xi Luo
Min Yuan
Jun Wu
Jian Ren
Wei Song
217
3
0
16 Jun 2022
Clustering with Queries under Semi-Random Noise
Annual Conference Computational Learning Theory (COLT), 2022
Alberto Del Pia
Mingchen Ma
Christos Tzamos
269
14
0
09 Jun 2022
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization
Sai Munikoti
Balasubramaniam Natarajan
M. Halappanavar
164
7
0
30 May 2022
SigMaNet: One Laplacian to Rule Them All
AAAI Conference on Artificial Intelligence (AAAI), 2022
Stefano Fiorini
Stefano Coniglio
Michele Ciavotta
Enza Messina
250
32
0
26 May 2022
Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration
Design Automation Conference (DAC), 2022
Haiyang Lin
Yurui Lai
Duo Wang
Mo Zou
Fengbin Tu
Xiaochun Ye
Xiaochun Ye
Yuan Xie
GNN
70
1
0
23 Feb 2022
Recovering Unbalanced Communities in the Stochastic Block Model With Application to Clustering with a Faulty Oracle
Neural Information Processing Systems (NeurIPS), 2022
Chandra Sekhar Mukherjee
Pan Peng
Jiapeng Zhang
220
7
0
17 Feb 2022
Triangle Graph Interest Network for Click-through Rate Prediction
Web Search and Data Mining (WSDM), 2022
Wensen Jiang
Yizhu Jiao
Qingqin Wang
Chuanming Liang
Lijie Guo
Yao Zhang
Zhijun Sun
Yun Xiong
Yangyong Zhu
127
21
0
06 Feb 2022
SigGAN : Adversarial Model for Learning Signed Relationships in Networks
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Roshni Chakraborty
Ritwika Das
Joydeep Chandra
GAN
217
8
0
17 Jan 2022
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