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Predict then Propagate: Graph Neural Networks meet Personalized PageRank

14 October 2018

Johannes Klicpera

Aleksandar Bojchevski

Stephan Günnemann

GNN

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Papers citing "Predict then Propagate: Graph Neural Networks meet Personalized PageRank"

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Title
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck Xingcheng Fu Yisen Gao Beining Yang Yuxuan Wu Haodong Qian Qingyun Sun Xianxian Li DD 117 2 0 23 Dec 2024
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Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training Shuyin Xia Xinjun Ma Zhiyuan Liu Cheng Liu Sen Zhao G. Wang 120 2 0 18 Dec 2024
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Yichun Yang Rong-Hua Li Meihao Liao Longlong Lin Guoren Wang 108 0 0 14 Dec 2024
Residual Hyperbolic Graph Convolution Networks Yangkai Xue Jindou Dai Zhipeng Lu Yuwei Wu Yunde Jia 157 4 0 05 Dec 2024
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 164 1 0 29 Nov 2024
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 177 0 0 28 Nov 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 235 1 0 26 Nov 2024
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 125 0 0 21 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs Xiang Li G. Agrawal R. Jin R. Ramnath 140 0 0 20 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 145 0 0 19 Nov 2024
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting Hongjun Wang Jiyuan Chen Lingyu Zhang Renhe Jiang Xuan Song AI4TS 189 1 0 18 Nov 2024
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs Yachao Yang Yanfeng Sun Jipeng Guo Junbin Gao Shaofan Wang Fujiao Ju Baocai Yin 127 0 0 18 Nov 2024
Partitioning Message Passing for Graph Fraud Detection Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan Rizal Fathony Jia Chen 200 18 0 16 Nov 2024
Fast and Robust Contextual Node Representation Learning over Dynamic Graphs Xingzhi Guo Silong Wang Baojian Zhou Yanghua Xiao Steven Skiena 93 1 0 11 Nov 2024
Multistage non-deterministic classification using secondary concept graphs and graph convolutional networks for high-level feature extraction Masoud Kargar Nasim Jelodari Alireza Assadzadeh GNN 71 0 0 09 Nov 2024
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck Shuangjie Li Jiangqing Song Baoming Zhang Gaoli Ruan Junyuan Xie Chongjun Wang 79 1 0 07 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 239 0 0 03 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos 180 0 0 31 Oct 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 98 1 0 31 Oct 2024
Faster Local Solvers for Graph Diffusion Equations Jiahe Bai Baojian Zhou Deqing Yang Yanghua Xiao DiffM 102 1 0 29 Oct 2024
Can Large Language Models Act as Ensembler for Multi-GNNs? Hanqi Duan Yao Cheng Jianxiang Yu Xiang Li AI4CE 87 0 0 22 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 64 0 0 21 Oct 2024
Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation Jinyoung Park Minseok Joo Joo-Kyung Kim H. Kim RALM 60 1 0 12 Oct 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training Fangxin Wang Kay Liu Sourav Medya Philip S. Yu SSL 86 3 0 12 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan Cuiping Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 64 0 0 11 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 205 0 0 11 Oct 2024
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs Bowen Jin Ziqi Pang Bingjun Guo Yu-Xiong Wang Jiaxuan You Jiawei Han DiffM 99 2 0 09 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 106 0 0 08 Oct 2024
Improving Node Representation by Boosting Target-Aware Contrastive Loss Ying-Chun Lin Jennifer Neville SSL 60 0 0 04 Oct 2024
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification Francisco M. Castro-Macías Pablo Morales-Álvarez Yunan Wu Rafael Molina Aggelos K. Katsaggelos 67 1 0 04 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning Jiale Fu Yaqing Wang Simeng Han Jiaming Fan Chen Si 154 1 0 03 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 90 0 0 02 Oct 2024
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power Zhe Wang Tianjian Zhao Zhen Zhang Jiawei Chen Sheng Zhou Yan Feng Chun Chen Can Wang 84 1 0 02 Oct 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 462 1 0 21 Sep 2024
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis Sakhinana Sagar Srinivas Geethan Sannidhi Sreeja Gangasani Chidaksh Ravuru Venkataramana Runkana 101 0 0 17 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 85 3 0 15 Sep 2024
Transformers from Diffusion: A Unified Framework for Neural Message Passing Qitian Wu David Wipf Junchi Yan DiffM 152 1 0 13 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 112 0 0 09 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 95 0 0 07 Sep 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks C. Damke Eyke Hüllermeier BDL 124 0 0 06 Sep 2024
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis Sakhinana Sagar Srinivas Chidaksh Ravuru Geethan Sannidhi Venkataramana Runkana 84 0 0 27 Aug 2024
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis Sakhinana Sagar Srinivas Geethan Sannidhi Venkataramana Runkana 106 1 0 27 Aug 2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification S. Akansha 82 0 0 25 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models Sakhinana Sagar Srinivas Geethan Sannidhi Venkataramana Runkana 108 0 0 24 Aug 2024
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models Sakhinana Sagar Srinivas Geethan Sannidhi Sreeja Gangasani Chidaksh Ravuru Venkataramana Runkana 115 0 0 24 Aug 2024
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption Sakhinana Sagar Srinivas Chidaksh Ravuru Geethan Sannidhi Venkataramana Runkana 77 0 0 23 Aug 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes Sakhinana Sagar Srinivas Rajat Kumar Sarkar Sreeja Gangasani Venkataramana Runkana 105 2 0 21 Aug 2024
EMCNet : Graph-Nets for Electron Micrographs Classification Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 102 0 0 21 Aug 2024
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 89 0 0 14 Aug 2024