T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and
Structure via Teacher-Student Distillation

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation

AAAI Conference on Artificial Intelligence (AAAI), 2022

24 December 2022

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Papers citing "T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation"

17 / 17 papers shown

Title
SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Junkai Liu N. Aung Theodoros N. Arvanitis Stefan K. Piechnik Joao A C Lima Steffen E. Petersen Le Zhang MedIm 72 0 0 09 Aug 2025
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs Yaowen Hu Wenxuan Tu Yue Liu Miaomiao Li Wenpeng Lu Zhigang Luo Xinwang Liu Ping Chen 149 0 0 12 Jul 2025
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Yaowen Hu Wenxuan Tu Yue Liu Xinhang Wan Junyi Yan Taichun Zhou Xinwang Liu 205 0 0 09 Jul 2025
Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of ThingsIEEE Internet of Things Journal (IEEE IoT J.), 2025 Mengran Li Junzhou Chen Chenyun Yu Guanying Jiang Ronghui Zhang Yanming Shen Houbing Song 275 4 0 20 Jan 2025
EasyST: A Simple Framework for Spatio-Temporal PredictionInternational Conference on Information and Knowledge Management (CIKM), 2024 J. Tang Wei Wei Lianghao Xia Chao Huang 198 6 0 10 Sep 2024
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure Peng Yuan Peng Tang 148 1 0 09 Aug 2024
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection Rui Cao Shijie Xue Jindong Li Zhiqiang Zhang Yi Chang 116 3 0 29 Jun 2024
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning Junjie Xu Zongyu Wu Min Lin Xiang Zhang Suhang Wang 285 19 0 03 Jun 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD ChallengesIEEE 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 289 74 0 07 Mar 2024
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application Jingtao Ding Chang Liu Y. Zheng Yunke Zhang Zihan Yu ... Hongyi Chen J. Piao Huandong Wang Jiazhen Liu Yong Li AI4CE 226 9 0 23 Feb 2024
EX-Graph: A Pioneering Dataset Bridging Ethereum and XInternational Conference on Learning Representations (ICLR), 2023 Qian Wang Zhen Zhang Zemin Liu Shengliang Lu B. Luo Bingsheng He 250 11 0 02 Oct 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 206 22 0 20 Sep 2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure MissingIndustrial Conference on Data Mining (IDM), 2023 Sichao Fu Qinmu Peng Yang He Baokun Du Xinge You 148 4 0 06 Sep 2023
Accelerating Molecular Graph Neural Networks via Knowledge DistillationNeural Information Processing Systems (NeurIPS), 2023 Filip Ekstrom Kelvinius D. Georgiev Artur Toshev Johannes Gasteiger 237 14 0 26 Jun 2023
Learning Strong Graph Neural Networks with Weak InformationKnowledge Discovery and Data Mining (KDD), 2023 Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 125 58 0 29 May 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation NetworkIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Wenxuan Tu Bin Xiao Xinwang Liu Sihang Zhou Zhiping Cai Jieren Cheng 154 18 0 15 Feb 2023
Knowledge Distillation on Graphs: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh Chawla 216 55 0 01 Feb 2023