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
Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes Mihir Agarwal Progyan Das Udit Bhatia 29 1 0 12 Nov 2024
No-Reference Point Cloud Quality Assessment via Graph Convolutional Network Wu Chen Qiuping Jiang Wei Zhou F. Shao Guangtao Zhai Weisi Lin 3DPC 34 0 0 12 Nov 2024
Variational Graph Contrastive Learning Shifeng Xie Jhony H. Giraldo 27 0 0 11 Nov 2024
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning Ao Liu Jing Chen Ruiying Du Cong Wu Yebo Feng Teng Li Jianfeng Ma 36 1 0 11 Nov 2024
Web Scale Graph Mining for Cyber Threat Intelligence Scott Freitas Amir Gharib 32 0 0 09 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh V. Chawla Chuxu Zhang Yanfang Ye 29 9 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 18 0 0 07 Nov 2024
Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? Review and Intercomparison of Existing Models Jose González-Abad José Manuel Gutiérrez AI4Cl 23 0 0 06 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan Jiarong Xu Renhong Huang Mingli Song Chunping Wang Yang Yang AAML 25 1 0 06 Nov 2024
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features Zhuoshuo Li Jiong Zhang Youbing Zeng Jiaying Lin Dan Zhang Jianjia Zhang Duan Xu H. Kim Bingguang Liu Mengting Liu 19 0 0 05 Nov 2024
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with Graph Neural Networks Christoforos Brozos Jan G. Rittig Elie Akanny Sandip Bhattacharya Christina Kohlmann Alexander Mitsos 22 0 0 04 Nov 2024
A General Recipe for Contractive Graph Neural Networks -- Technical Report Maya Bechler-Speicher Moshe Eliasof 27 0 0 04 Nov 2024
Polar R-CNN: End-to-End Lane Detection with Fewer Anchors Shengqi Wang Junmin Liu Xiangyong Cao Zengjie Song Kai Sun 21 0 0 03 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 34 0 0 03 Nov 2024
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination Md Abrar Jahin Md. Akmol Masud M. Mridha Nilanjan Dey Zeyar Aung 49 0 0 03 Nov 2024
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data Óscar Escudero-Arnanz C. Soguero-Ruíz Antonio G. Marques AI4TS 19 0 0 01 Nov 2024
An unified approach to link prediction in collaboration networks Juan Sosa Diego Martínez Nicolás Guerrero 23 0 0 01 Nov 2024
Graph Neural Networks for Financial Fraud Detection: A Review Dawei Cheng Yao Zou Sheng Xiang Changjun Jiang AI4TS 38 9 0 01 Nov 2024
Higher-order Cross-structural Embedding Model for Time Series Analysis Guancen Lin Cong Shen Aijing Lin AI4TS 25 0 0 30 Oct 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 24 2 0 30 Oct 2024
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting Zhiwei Zhang Shaojun E Fandong Meng Jie Zhou Wenjuan Han 29 0 0 30 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning Sambhav Khurana Xiner Li Shurui Gui Shuiwang Ji LRM 31 0 0 29 Oct 2024
Graph Based Traffic Analysis and Delay Prediction Gabriele Borg Charlie Abela GNN 36 0 0 28 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 2 0 28 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 39 0 0 28 Oct 2024
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection Hwan Kim Junghoon Kim Sungsu Lim 19 0 0 27 Oct 2024
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification Xiaoxue Han Huzefa Rangwala Yue Ning BDL OOD CML 23 0 0 27 Oct 2024
Neural Fields in Robotics: A Survey Muhammad Zubair Irshad Mauro Comi Yen-Chen Lin Nick Heppert Abhinav Valada Rares Ambrus Z. Kira Jonathan Tremblay AI4CE 38 3 0 26 Oct 2024
Spatial Shortcuts in Graph Neural Controlled Differential Equations Michael Detzel Gabriel Nobis Jackie Ma Wojciech Samek 24 0 0 25 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 27 0 0 25 Oct 2024
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network Suraj Kumar S. Chattopadhyay Chandranath Adak 21 0 0 23 Oct 2024
Scalable Implicit Graphon Learning Ali Azizpour Nicolas Zilberstein Santiago Segarra GNN 16 0 0 22 Oct 2024
Dynamic graph neural networks for enhanced volatility prediction in financial markets Pulikandala Nithish Kumar Nneka Umeorah Alex Alochukwu 20 0 0 22 Oct 2024
Safe Load Balancing in Software-Defined-Networking L. Dinh Pham Tran Anh Quang Jérémie Leguay 26 0 0 22 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
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation Junyu Luo Yiyang Gu Xiao Luo Wei Ju Zhiping Xiao Yusheng Zhao Jingyang Yuan Ming Zhang 27 7 0 22 Oct 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber Tim Poštuvan Stephan Günnemann Simon Geisler 26 2 0 22 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 15 0 0 21 Oct 2024
Taming the Long Tail in Human Mobility Prediction Xiaohang Xu Renhe Jiang Chuang Yang Z. Fan Kaoru Sezaki 22 1 0 19 Oct 2024
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model Tianqianjin Lin Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Jun Lin Weikang Yuan Junjie Cao Changlong Sun Xiaozhong Liu AI4CE 28 0 0 19 Oct 2024
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts Chaoxi Niu Hezhe Qiao Changlu Chen Ling-Hao Chen Guansong Pang 38 0 0 18 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 16 0 0 18 Oct 2024
Assistive AI for Augmenting Human Decision-making Natabara Máté Gyöngyössy Bernát Török Csilla Farkas Laura Lucaj Attila Menyhárd Krisztina Menyhárd-Balázs András Simonyi Patrick van der Smagt Zsolt Ződi András Lőrincz 24 0 0 18 Oct 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series Giangiacomo Mercatali André Freitas Jie Chen BDL CML AI4TS 20 1 0 17 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 24 2 0 17 Oct 2024
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models Linhao Luo Zicheng Zhao Chen Gong Gholamreza Haffari Shirui Pan RALM LRM 32 4 0 16 Oct 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 39 0 0 15 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 30 0 0 13 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks C. Wang Xinyang Liu Dongsheng Wang Hao Zhang Bo Chen Mingyuan Zhou BDL 18 0 0 13 Oct 2024
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction Jielong Yang Rui Ding Feng Ji Hongbin Wang Linbo Xie 25 0 0 13 Oct 2024