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
Fast and Robust Contextual Node Representation Learning over Dynamic Graphs Xingzhi Guo Silong Wang Baojian Zhou Yanghua Xiao Steven Skiena 57 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 37 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 33 0 0 07 Nov 2024
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks Jincheng Huang Yujie Mo Xiaoshuang Shi Lei Feng Xiaofeng Zhu 41 0 0 04 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 52 0 0 03 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos 39 0 0 31 Oct 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 40 0 0 31 Oct 2024
Faster Local Solvers for Graph Diffusion Equations Jiahe Bai Baojian Zhou Deqing Yang Yanghua Xiao DiffM 30 1 0 29 Oct 2024
Can Large Language Models Act as Ensembler for Multi-GNNs? Hanqi Duan Yao Cheng Jianxiang Yu Xiang Li AI4CE 35 0 0 22 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 30 0 0 21 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
BANGS: Game-Theoretic Node Selection for Graph Self-Training Fangxin Wang Kay Liu Sourav Medya Philip S. Yu SSL 36 1 0 12 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 52 0 0 11 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan C. Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 36 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 47 1 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 35 0 0 08 Oct 2024
Improving Node Representation by Boosting Target-Aware Contrastive Loss Ying-Chun Lin Jennifer Neville SSL 26 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 33 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 30 1 0 03 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 36 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 44 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 190 0 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 35 0 0 17 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 33 3 0 15 Sep 2024
Neural Message Passing Induced by Energy-Constrained Diffusion Qitian Wu David Wipf Junchi Yan DiffM 55 1 0 13 Sep 2024
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants Gangda Deng Hongkuan Zhou Rajgopal Kannan Viktor Prasanna 38 0 0 11 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 31 0 0 09 Sep 2024
Re-evaluating the Advancements of Heterophilic Graph Learning Sitao Luan Qincheng Lu Chenqing Hua Xueliang Wang Jiaqi Zhu Xiao-Wen Chang 67 2 0 09 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 45 0 0 07 Sep 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks C. Damke Eyke Hüllermeier BDL 45 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 45 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 38 1 0 27 Aug 2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification S. Akansha 40 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 35 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 49 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 41 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 41 2 0 21 Aug 2024
EMCNet : Graph-Nets for Electron Micrographs Classification Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 40 0 0 21 Aug 2024
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 34 0 0 14 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 48 0 0 09 Aug 2024
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure Peng Yuan Peng Tang 41 1 0 09 Aug 2024
TSC: A Simple Two-Sided Constraint against Over-Smoothing Furong Peng Kang Liu Xuan Lu Yuhua Qian HongRen Yan Chao Ma 61 0 0 06 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 35 3 0 31 Jul 2024
Boosting Graph Foundation Model from Structural Perspective Yao Cheng Yige Zhao Jianxiang Yu Xiang Li 29 4 0 29 Jul 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 46 0 0 27 Jul 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks Jiaxing Miao Liang Hu Qi Zhang LongBing Cao CLL 51 0 0 27 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 48 0 0 26 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yuqi Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 51 4 0 20 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 40 1 0 15 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam D. Ghoshdastidar Stephan Günnemann AAML 45 3 0 15 Jul 2024