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A Comprehensive Survey on Graph Neural Networks

3 January 2019

Philip S. Yu

Papers citing "A Comprehensive Survey on Graph Neural Networks"

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Title
A Structural Feature-Based Approach for Comprehensive Graph Classification Saiful Islam M. Hasan P. Khanra 85 2 0 10 Aug 2024
Investigating Instruction Tuning Large Language Models on Graphs Kerui Zhu Bo-Wei Huang Bowen Jin Yizhu Jiao Ming Zhong Kevin Chang Shou-De Lin Jiawei Han 100 3 0 10 Aug 2024
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation Wenbo Shang Xuliang Zhu Xin Huang 102 5 0 10 Aug 2024
Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning William Marfo Pablo Moriano Deepak K. Tosh Shirley V. Moore 84 4 0 10 Aug 2024
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure Peng Yuan Peng Tang 72 1 0 09 Aug 2024
Beyond the Eye: A Relational Model for Early Dementia Detection Using Retinal OCTA Images Shouyue Liu Jinkui Hao Yuanyuan Gu Huazhu Fu Xinyu Guo Shuting Zhang Yitian Zhao Hong Song Shuting Zhang Yitian Zhao 65 1 0 09 Aug 2024
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics Yu Zhang Yongxiang Zou Haoyu Zhang Zeyu Liu Houcheng Li Long Cheng AI4CE 84 1 0 08 Aug 2024
Malicious Internet Entity Detection Using Local Graph Inference Šimon Mandlík Tomás Pevný Václav Smídl L. Bajer 90 1 0 06 Aug 2024
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks Zepeng Zhang Olga Fink GNN 105 1 0 05 Aug 2024
Optimal and efficient text counterfactuals using Graph Neural Networks Dimitris Lymperopoulos Maria Lymperaiou Giorgos Filandrianos Giorgos Stamou 73 1 0 04 Aug 2024
Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution A. Ezugwu Yuh-Shan Ho O. Egwuche Olufisayo S. Ekundayo Annette Van Der Merwe A. K. Saha Jayanta Pal 68 0 0 03 Aug 2024
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation Chu Zhao Enneng Yang Yuliang Liang Jianzhe Zhao Guibing Guo Xingwei Wang 113 1 0 03 Aug 2024
Derivation of Back-propagation for Graph Convolutional Networks using Matrix Calculus and its Application to Explainable Artificial Intelligence Yen-Che Hsiao Rongting Yue Abhishek Dutta FAtt 51 0 0 02 Aug 2024
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model Eren Olug Kıymet Kaya Resul Tugay Sule Gunduz Oguducu 37 0 0 02 Aug 2024
What comes after transformers? -- A selective survey connecting ideas in deep learning Johannes Schneider AI4CE 125 2 0 01 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 268 8 0 01 Aug 2024
What makes for good morphology representations for spatial omics? Eduard Chelebian C. Avenel C. Wählby 64 0 0 30 Jul 2024
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement Yakun Wang Daixin Wang Hongrui Liu Bin Hu Yingcui Yan Qiyang Zhang Qing Cui 107 6 0 30 Jul 2024
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio 116 0 0 29 Jul 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation Shiyuan Li Yixin Liu Qingfeng Chen Geoffrey I. Webb Shirui Pan SSL 104 5 0 29 Jul 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks Yushun Dong Binchi Zhang Zhenyu Lei Na Zou Jundong Li MU 122 8 0 28 Jul 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks Jiaxing Miao Liang Hu Qi Zhang LongBing Cao CLL 99 0 0 27 Jul 2024
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data Hanyang Yuan Jiarong Xu Cong Wang Ziqi Yang Chunping Wang Keting Yin Yang Yang 89 6 0 26 Jul 2024
Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints Lei Guo Wei Chen Yuxuan Sun Bo Ai Nikolaos Pappas T. Quek DiffM 151 7 0 26 Jul 2024
Gene Regulatory Network Inference from Pre-trained Single-Cell Transcriptomics Transformer with Joint Graph Learning Sindhura Kommu Yi‐Zheng Wang Yue Wang Xuan Wang 66 2 0 25 Jul 2024
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 136 1 0 25 Jul 2024
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification? Johannes Kiechle Daniel M. Lang Stefan M. Fischer Lina Felsner J. Peeken Julia A. Schnabel MedIm 75 0 0 24 Jul 2024
Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks Kamesh Korangi Christophe Mues Cristián Bravo 83 1 0 22 Jul 2024
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation Lirong Wu Yunfan Liu Haitao Lin Yufei Huang Stan Z. Li 93 1 0 20 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 102 4 0 20 Jul 2024
TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion Xin Tian Nantheera Anantrasirichai Lindsay B. Nicholson A. Achim MedIm 88 1 0 19 Jul 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 123 0 0 19 Jul 2024
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning Qiuyu Zhu Liang Zhang Qianxiong Xu Kaijun Liu Cheng Long Xiaoyang Wang 89 1 0 18 Jul 2024
GraphMuse: A Library for Symbolic Music Graph Processing E. Karystinaios Gerhard Widmer 67 1 0 17 Jul 2024
Struct-X: Enhancing Large Language Models Reasoning with Structured Data Jue Chen Haoyu Wang Xihe Qiu Yuan Cheng Yinghui Xu Wei Chu Yuan Qi 79 5 0 17 Jul 2024
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions Christian Nauck R. Gorantla M. Lindner Konstantin Schurholt Antonia S. J. S. Mey Frank Hellmann AI4CE 81 2 0 17 Jul 2024
Temporal receptive field in dynamic graph learning: A comprehensive analysis Yannis Karmim Leshanshui Yang Raphael Fournier SÑiehotta Clément Chatelain Sébastien Adam Nicolas Thome 63 1 0 17 Jul 2024
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More Xiaochuan Gou Ziyue Li Tian-Shing Lan Junpeng Lin Zhishuai Li Bingyu Zhao Chen Zhang Di Wang Xiangliang Zhang AI4TS 108 1 0 16 Jul 2024
Accounting for Work Zone Disruptions in Traffic Flow Forecasting Yuanjie Lu Amarda Shehu David Lattanzi GNN 96 0 0 16 Jul 2024
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks Zhenhua Huang Kunhao Li Shaojie Wang Zhaohong Jia Wentao Zhu Sharad Mehrotra GNN 92 0 0 16 Jul 2024
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation Luying Zhong Yueyang Pi Zheyi Chen Zhengxin Yu Wang Miao Xing Chen Geyong Min FedML 125 1 0 14 Jul 2024
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning Zitong Wang Xuexiong Luo Enfeng Song Qiuqing Bai Fu Lin 89 1 0 13 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Xiwei Xu Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 143 14 0 13 Jul 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Sophia Sanborn Johan Mathe Mathilde Papillon Domas Buracas Hansen Lillemark Christian Shewmake Abby Bertics Xavier Pennec Nina Miolane 96 8 0 12 Jul 2024
Graph Neural Network Causal Explanation via Neural Causal Models Arman Behnam Binghui Wang CML 87 4 0 12 Jul 2024
Advanced Graph Clustering Methods: A Comprehensive and In-Depth Analysis Timothé Watteau Aubin Bonnefoy Simon Illouz-Laurent Joaquim Jusseau Serge Iovleff 83 0 0 12 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses Yuxin Yang Qiang Li Jinyuan Jia Yuan Hong Binghui Wang AAML FedML 132 13 0 12 Jul 2024
Robust Generalization of Graph Neural Networks for Carrier Scheduling Daniel F. Perez-Ramirez Carlos Pérez-Penichet N. Tsiftes Dejan Kostic Magnus Boman Thiemo Voigt 58 0 0 11 Jul 2024
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching Dongliang Cao Zorah Laehner Florian Bernard DiffM 122 1 0 11 Jul 2024
Deep Inverse Design for High-Level Synthesis Ping Chang Tosiron Adegbija Yuchao Liao Claudio Talarico Ao Li Janet Roveda 111 0 0 11 Jul 2024