Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization

11 September 2020

Papers citing "Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization"

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Title
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng Ruizhong Qiu Wenxuan Bao Tianxin Wei Xiao Lin Yuchen Yan Tarek F. Abdelzaher Jiawei Han Hanghang Tong OOD AI4CE 2 0 0 19 May 2025
Gradual Domain Adaptation for Graph Learning Pui Ieng Lei Ximing Chen Yijun Sheng Yanyan Liu J. Guo Zhiguo Gong OOD 46 0 0 29 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 60 2 0 08 Jan 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees Zehong Wang Zheyuan Zhang Tianyi Ma Nitesh V. Chawla Chuxu Zhang Yanfang Ye AI4CE 79 0 0 21 Dec 2024
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Yuntao Shou Peiqiang Yan Xingjian Yuan Xiangyong Cao Qian Zhao Deyu Meng OOD MedIm 95 5 0 21 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh V. Chawla Chuxu Zhang Yanfang Ye 46 10 0 09 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 53 2 0 25 Oct 2024
Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation Jinyoung Park Minseok Joo Joo-Kyung Kim H. Kim RALM 33 1 0 12 Oct 2024
LinkThief: Combining Generalized Structure Knowledge with Node Similarity for Link Stealing Attack against GNN Yuxing Zhang Siyuan Meng Chunchun Chen Mengyao Peng Hongyan Gu Xinli Huang 29 1 0 01 Oct 2024
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity Dongyue Li Aneesh Sharma Hongyang R. Zhang 67 2 0 09 Sep 2024
Generalization of Graph Neural Networks is Robust to Model Mismatch Zhiyang Wang J. Cerviño Alejandro Ribeiro 45 2 0 25 Aug 2024
Efficient Task Transfer for HLS DSE Zijian Ding Atefeh Sohrabizadeh Weikai Li Zongyue Qin Yizhou Sun Jason Cong 31 3 0 16 Aug 2024
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models Quan Li Tianxiang Zhao Lingwei Chen Junjie Xu Suhang Wang AI4CE 49 0 0 19 Jul 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning Bowen Zhang Zhichao Huang Genan Dai Guangning Xu Xiaomao Fan Hu Huang 36 0 0 02 Jul 2024
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction Zhongxiang Fan Zhaocheng Liu Jian Liang Dongying Kong Han Li Peng Jiang Shuang Li Kun Gai 45 0 0 27 Jun 2024
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data Zexing Xu Linjun Zhang Sitan Yang Rasoul Etesami Hanghang Tong Huan Zhang Jiawei Han AI4TS 36 3 0 23 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen Haitao Mao Jingzhe Liu Yu Song Bingheng Li ... Bahare Fatemi Anton Tsitsulin Bryan Perozzi Hui Liu Jiliang Tang 33 9 0 15 Jun 2024
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks Zhiyang Wang J. Cerviño Alejandro Ribeiro AI4CE GNN 39 6 0 07 Jun 2024
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 38 1 0 05 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment Zhenyu Hou Haozhan Li Yukuo Cen Jie Tang Yuxiao Dong 31 6 0 05 Jun 2024
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion Qinggang Zhang Keyu Duan Junnan Dong Pai Zheng Xiao Huang 41 3 0 03 Jun 2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification Jiachen Chen Danyang Huang Liyuan Wang Kathryn L. Lunetta Debarghya Mukherjee Huimin Cheng 30 0 0 26 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond Wei Ju Yifan Wang Yifang Qin Zhengyan Mao Zhiping Xiao ... Dongjie Wang Qingqing Long Siyu Yi Xiao Luo Ming Zhang 59 12 0 20 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Wenlin Yao 45 7 0 17 May 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation Zhen Zhang Meihan Liu Anhui Wang Hongyang Chen Zhao Li Jiajun Bu Bingsheng He TTA 33 10 0 03 Mar 2024
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining Yanchao Tan Hang Lv Xin Huang Jiawei Zhang Shiping Wang Carl Yang 45 11 0 02 Mar 2024
Smoothed Graph Contrastive Learning via Seamless Proximity Integration M. Behmanesh M. Ovsjanikov 21 0 0 23 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 29 5 0 17 Feb 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 44 6 0 14 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning Mahdi Naseri Mahdi Biparva SSL 29 0 0 09 Feb 2024
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning Ke Zhang Lichao Sun Bolin Ding Siu-Ming Yiu Carl Yang FedML 27 9 0 09 Jan 2024
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 48 12 0 21 Dec 2023
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis Abhinav Nippani Dongyue Li Haotian Ju Haris N. Koutsopoulos Hongyang R. Zhang GNN 49 6 0 31 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning Yun Zhu Yaoke Wang Haizhou Shi Zhenshuo Zhang Dian Jiao Siliang Tang AI4CE 37 27 0 11 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 31 13 0 01 Oct 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 34 18 0 26 Sep 2023
Multi-modal Domain Adaptation for REG via Relation Transfer Yifan Ding Liqiang Wang Boqing Gong 28 0 0 23 Sep 2023
Graph Relation Aware Continual Learning Q. Shen Weijieying Ren Wei Qin CLL BDL 26 2 0 16 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 37 13 0 04 Aug 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 26 8 0 24 Jul 2023
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities Dongyue Li Haotian Ju Aneesh Sharma Hongyang R. Zhang 66 8 0 24 Jun 2023
Randomized Schur Complement Views for Graph Contrastive Learning Vignesh Kothapalli 12 1 0 06 Jun 2023
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 13 10 0 05 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation Shikun Liu Tianchun Li Yongbin Feng Nhan Tran Haiying Zhao Qiu Qiang Pan Li OOD AI4CE 19 34 0 05 Jun 2023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications Han Xie Da Zheng Jun Ma Houyu Zhang V. Ioannidis ... Sheng Wang Carl Yang Yi Xu Belinda Zeng Trishul Chilimbi AI4CE 22 35 0 05 Jun 2023
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs Zhiyang Wang Luana Ruiz Alejandro Ribeiro GNN 41 7 0 29 May 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Yi Yang Hejie Cui Carl Yang 32 18 0 20 May 2023
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features Saurabh Sihag Fangchang Ma Corey McMillan Angela Dai 43 3 0 02 May 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang Yuzhen Mao Yujun Yan Yaoqing Yang Jianhui Sun ... Si Zhang Alison Hu Edward Bowen Tyler Cody Dawei Zhou 44 2 0 01 May 2023