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
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model Eren Olug Kıymet Kaya Resul Tugay Sule Gunduz Oguducu 15 0 0 02 Aug 2024
What comes after transformers? -- A selective survey connecting ideas in deep learning Johannes Schneider AI4CE 27 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 51 5 0 01 Aug 2024
What makes for good morphology representations for spatial omics? Eduard Chelebian C. Avenel C. Wählby 19 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 Zhiqiang Zhang 20 6 0 30 Jul 2024
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio' 29 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 27 4 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 67 5 0 28 Jul 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks Jiaxing Miao Liang Hu Qi Zhang LongBing Cao CLL 44 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 19 5 0 26 Jul 2024
Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints Lei Guo Wei-Neng Chen Yuxuan Sun Bo Ai Nikolaos Pappas T. Quek DiffM 29 5 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 29 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 36 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 16 0 0 24 Jul 2024
Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks Kamesh Korangi Christophe Mues Cristián Bravo 22 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 30 1 0 20 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yonghao Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 20 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 21 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 39 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 24 0 0 18 Jul 2024
GraphMuse: A Library for Symbolic Music Graph Processing E. Karystinaios Gerhard Widmer 29 1 0 17 Jul 2024
Struct-X: Enhancing Large Language Models Reasoning with Structured Data Xiaoyu Tan Haoyu Wang Xihe Qiu Yuan-Chia Cheng Yinghui Xu Wei Chu Yuan Qi 30 3 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 37 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 23 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 38 1 0 16 Jul 2024
Accounting for Work Zone Disruptions in Traffic Flow Forecasting Yuanjie Lu Amarda Shehu David Lattanzi GNN 20 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 33 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 28 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 26 0 0 13 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 29 9 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 54 4 0 12 Jul 2024
Graph Neural Network Causal Explanation via Neural Causal Models Arman Behnam Binghui Wang CML 40 3 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 27 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 49 10 0 12 Jul 2024
Robust Generalization of Graph Neural Networks for Carrier Scheduling Daniel F. Perez-Ramirez Carlos Pérez-Penichet N. Tsiftes Dejan Kostić Magnus Boman Thiemo Voigt 17 0 0 11 Jul 2024
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching Dongliang Cao Zorah Laehner Florian Bernard DiffM 35 0 0 11 Jul 2024
Deep Inverse Design for High-Level Synthesis Ping Chang Tosiron Adegbija Yuchao Liao Claudio Talarico Ao Li Janet Roveda 27 0 0 11 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 30 4 0 10 Jul 2024
A review of graph neural network applications in mechanics-related domains Yingxue Zhao Haoran Li Haosu Zhou H. Attar Tobias Pfaff Nan Li AI4CE 27 5 0 10 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 28 1 0 10 Jul 2024
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers Souradip Poddar Youngmin Oh Yao Lai Hanqing Zhu Bosun Hwang David Z. Pan 20 2 0 10 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 19 3 0 09 Jul 2024
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation Jianxin Wei Yizheng Zhu Xiaokui Xiao Ergute Bao Yin Yang Kuntai Cai Beng Chin Ooi AAML 27 0 0 06 Jul 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 76 4 0 06 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 43 2 0 03 Jul 2024
Predicting and Understanding Turn-Taking Behavior in Open-Ended Group Activities in Virtual Reality Portia Wang Eugy Han A. Queiroz C. DeVeaux Jeremy N. Bailenson 21 1 0 03 Jul 2024
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks Guangrui Yang Jianfei Li Ming Li Han Feng Ding-Xuan Zhou 28 1 0 01 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 33 2 0 01 Jul 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 90 1 0 30 Jun 2024
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs Quanming Yao Yongqi Zhang Yaqing Wang Nan Yin James Kwok Qiang Yang 21 0 0 29 Jun 2024