Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.07057
Cited By
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Web Search and Data Mining (WSDM), 2020
13 November 2020
Dongsheng Luo
Wei Cheng
Wenchao Yu
Bo Zong
Jingchao Ni
Haifeng Chen
Xiang Zhang
OOD
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning to Drop: Robust Graph Neural Network via Topological Denoising"
50 / 116 papers shown
Denoised Recommendation Model with Collaborative Signal Decoupling
Zefeng Li
Ning Yang
128
0
0
06 Nov 2025
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
Doyun Choi
Cheonwoo Lee
Jaemin Yoo
301
1
0
01 Nov 2025
Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph Neural Networks
Asela Hevapathige
187
0
0
23 Sep 2025
Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects
Yixin Liu
Guibin Zhang
Kun Wang
Shiyuan Li
Shirui Pan
LLMAG
LM&Ro
449
9
0
29 Jul 2025
Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Yucheng Wu
Yuncong Yang
Xiao Han
Leye Wang
Junjie Wu
245
1
0
23 Jul 2025
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
Langzhang Liang
Fanchen Bu
Zixing Song
Zenglin Xu
Shirui Pan
Kijung Shin
238
20
0
19 Jun 2025
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Qingfeng Chen
Shiyuan Li
Yixin Liu
Shirui Pan
Geoffrey I. Webb
Shichao Zhang
EDL
367
11
0
16 Jun 2025
Neuro-Argumentative Learning with Case-Based Reasoning
Adam Gould
Francesca Toni
205
1
0
21 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
IEEE International Conference on Data Engineering (ICDE), 2025
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
987
2
0
04 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
835
2
0
29 Apr 2025
Hierarchical Uncertainty-Aware Graph Neural Network
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
1.2K
2
0
28 Apr 2025
Unlocking Graph Structure Learning with Tree-Guided Large Language Models
Zhihan Zhang
Miao Hu
Guang Zeng
Hongchao Qin
Rong-Hua Li
Guoren Wang
Hongchao Qin
Rong-Hua Li
Guoren Wang
555
3
0
27 Mar 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Maryam Abdolali
Romina Zakerian
Behnam Roshanfekr
Fardin Ayar
Mohammad Rahmati
314
0
0
22 Mar 2025
DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition
Computer Vision and Pattern Recognition (CVPR), 2025
Caoshuo Li
Tanzhe Li
Xiaobin Hu
Donghao Luo
Taisong Jin
343
8
0
19 Mar 2025
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Youth Academic Annual Conference of Chinese Association of Automation (AACAA), 2025
Tingting Wang
Jiaxin Su
Haobing Liu
Ruobing Jiang
552
1
0
15 Mar 2025
TiGer: Self-Supervised Purification for Time-evolving Graphs
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
Hyeonsoo Jo
Jongha Lee
Fanchen Bu
Kijung Shin
413
0
0
10 Mar 2025
Graph Augmentation for Cross Graph Domain Generalization
Guanzi Chen
Jiying Zhang
Yang Li
389
2
0
25 Feb 2025
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
Ruizhan Xue
Huimin Deng
Fang He
Maojun Wang
Zeyu Zhang
433
2
0
12 Feb 2025
Bi-Level Graph Structure Learning for Next POI Recommendation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Liang Wang
Shu Wu
Qiang Liu
Yinlin Zhu
Xiang Tao
Hao Fei
Shu Wu
299
21
0
02 Nov 2024
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
Yuntian He
Pranav Maneriker
Anutam Srinivasan
Aditya T. Vadlamani
Srinivasan Parthasarathy
369
0
0
28 Oct 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
306
6
0
29 Sep 2024
Neighbor Overlay-Induced Graph Attention Network
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2024
Tiqiao Wei
Ye Yuan
GNN
320
1
0
16 Aug 2024
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
358
1
0
09 Aug 2024
xAI-Drop: Don't Use What You Cannot Explain
LOG IN (LOG IN), 2024
Vincenzo Marco De Luca
Antonio Longa
Baptiste Caramiaux
Pietro Lio
378
1
0
29 Jul 2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes
Shuaike Xu
Xiaolin Zhang
Peng Zhang
Kun Zhan
391
2
0
02 Jul 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection
Chunjing Xiao
Shikang Pang
Xovee Xu
Xuan Li
Goce Trajcevski
Fan Zhou
DiffM
324
16
0
02 Jul 2024
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
Beini Xie
Heng Chang
Ziwei Zhang
Zeyang Zhang
Simin Wu
Xin Wang
Yuan Meng
Wenwu Zhu
311
9
0
24 Jun 2024
Large Language Models for Link Stealing Attacks Against Graph Neural Networks
Faqian Guan
Tianqing Zhu
Hui Sun
Wanlei Zhou
Philip S. Yu
AAML
341
3
0
22 Jun 2024
RobGC: Towards Robust Graph Condensation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Tengjiao Wang
AAML
602
10
0
19 Jun 2024
Graph Sparsification via Mixture of Graphs
International Conference on Learning Representations (ICLR), 2024
Guibin Zhang
Xiangguo Sun
Xinfeng Li
Kun Wang
Tianlong Chen
Shirui Pan
305
18
0
23 May 2024
A Comprehensive Survey on Data Augmentation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
790
100
0
15 May 2024
Graph Machine Learning in the Era of Large Language Models (LLMs)
Wenqi Fan
Shijie Wang
Jiani Huang
Zhikai Chen
Yu Song
...
Haitao Mao
Hui Liu
Xiaorui Liu
D. Yin
Qing Li
AI4CE
494
52
0
23 Apr 2024
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction
Urchade Zaratiana
Nadi Tomeh
Niama El Khbir
Pierre Holat
Thierry Charnois
379
2
0
18 Apr 2024
Improving the interpretability of GNN predictions through conformal-based graph sparsification
Pablo Sánchez-Martín
Kinaan Aamir Khan
Isabel Valera
351
5
0
18 Apr 2024
Characterizing the Influence of Topology on Graph Learning Tasks
Kailong Wu
Yule Xie
Jiaxin Ding
Yuxiang Ren
Luoyi Fu
Xinbing Wang
Cheng Zhou
252
0
0
11 Apr 2024
Adversary-Robust Graph-Based Learning of WSIs
Saba Heidari Gheshlaghi
Milan Aryal
Nasim Yahyasoltani
Masoud Ganji
OOD
AAML
329
1
0
21 Mar 2024
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zhaoliang Chen
Zhihao Wu
Ylli Sadikaj
Claudia Plant
Hong-Ning Dai
Shiping Wang
Wenzhong Guo
AAML
316
11
0
14 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xin Liu
Yuxiang Zhang
Meng Wu
Yurui Lai
Kun He
Wei Yan
Shirui Pan
Xiaochun Ye
Xiaochun Ye
AAML
301
7
0
10 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Nan Yin
Senzhang Wang
Xinwang Liu
Philip S. Yu
Ming Zhang
AI4CE
423
89
0
07 Mar 2024
A Survey on Graph Condensation
Hongjia Xu
Liangliang Zhang
Yao Ma
Sheng Zhou
Zhuonan Zheng
Jiajun Bu
387
12
0
03 Feb 2024
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Mahdi Biparva
Raika Karimi
Faezeh Faez
Yingxue Zhang
244
6
0
02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Guibin Zhang
Xinfeng Li
Kun Wang
Cunchun Li
Yongduo Sui
Kai Wang
Yuxuan Liang
Dawei Cheng
Shirui Pan
Tianlong Chen
227
14
0
02 Feb 2024
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Rei Tamaru
Yang Cheng
Steven T. Parker
Ernie Perry
Bin Ran
S. Ahn
442
0
0
23 Jan 2024
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
Fali Wang
Tianxiang Zhao
Suhang Wang
398
12
0
18 Jan 2024
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification
IEEE Symposium on Security and Privacy (S&P), 2023
Bang Wu
Lizhen Qu
Shuo Wang
Qi Li
Minhui Xue
Shirui Pan
314
13
0
13 Dec 2023
Combating Bilateral Edge Noise for Robust Link Prediction
Neural Information Processing Systems (NeurIPS), 2023
Zhanke Zhou
Jiangchao Yao
Jiaxu Liu
Xiawei Guo
Quanming Yao
Li He
Liang Wang
Bo Zheng
Bo Han
AAML
NoLa
322
22
0
02 Nov 2023
Robust Graph Clustering via Meta Weighting for Noisy Graphs
International Conference on Information and Knowledge Management (CIKM), 2023
Hyeonsoo Jo
Fanchen Bu
Kijung Shin
OOD
NoLa
504
10
0
01 Nov 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Neural Information Processing Systems (NeurIPS), 2023
Zhengwu Zhang
Junxiang Wang
Bo Pan
247
23
0
28 Oct 2023
Artifact-Robust Graph-Based Learning in Digital Pathology
Saba Heidari Gheshlaghi
Milan Aryal
Nasim Yahyasoltani
Masoud Ganji
OOD
358
0
0
27 Oct 2023
Node classification in networks via simplicial interactions
Eunho Koo
Tongseok Lim
312
2
0
16 Oct 2023
1
2
3
Next
Page 1 of 3
