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
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Seongjin Choi Gahee Kim Yong-Geun Oh 12 0 0 09 May 2025
Multi-Modal Molecular Representation Learning via Structure Awareness Rong Yin Ruyue Liu Xiaoshuai Hao Xingrui Zhou Y. Liu Can Ma Weiping Wang 22 0 0 09 May 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective Hao Zhang Xunkai Li Y. X. Zhu Lianglin Hu FedML DD AI4CE 47 0 0 05 May 2025
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Hong Xin Xie Jian De Sun Fan Fu Xue Zi Fei Han S. Feng Qi Chen 47 0 0 01 May 2025
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks William Sutcliffe Marta Calvi Simone Capelli Jonas Eschle J. G. Pardiñas Abhijit Mathad Azusa Uzuki N. Serra 36 0 0 30 Apr 2025
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks Junyuan Fang Han Yang Haixian Wen Jiajing Wu Zibin Zheng Chi K. Tse AAML 41 0 0 29 Apr 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 64 0 0 29 Apr 2025
Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Collin Beaudoin Swaroop Ghosh 31 0 0 29 Apr 2025
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction Ling Wang Minglian Han AI4CE 19 0 0 26 Apr 2025
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 27 1 0 23 Apr 2025
Benchmarking machine learning models for predicting aerofoil performance Oliver Summerell Gerardo Aragon-Camarasa Stephanie Ordonez Sanchez 12 0 0 22 Apr 2025
Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis Yulong Li Zhixiang Lu Feilong Tang Simin Lai Ming Hu ... Haochen Xue Zhaodong Wu Imran Razzak Qingxia Li Jionglong Su 17 0 0 21 Apr 2025
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning Zekai Chen Xunkai Li Y. X. Zhu Rong-Hua Li Guoren Wang FedML 24 0 0 19 Apr 2025
EG-Gaussian: Epipolar Geometry and Graph Network Enhanced 3D Gaussian Splatting Beizhen Zhao Yifan Zhou Zijian Wang Hao Wang 3DGS 20 0 0 18 Apr 2025
Network Alignment R. Tang Ziyun Yong Shuyu Jiang Xingshu Chen Y. Liu Y. Zhang Gui-Quan Sun Wei Wang 28 0 0 15 Apr 2025
Trajectory Encoding Temporal Graph Networks Jiafeng Xiong Rizos Sakellariou AI4CE 35 0 0 15 Apr 2025
Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning Saif Punjwani Larry Heck LRM 22 0 0 14 Apr 2025
Ensemble-Enhanced Graph Autoencoder with GAT and Transformer-Based Encoders for Robust Fault Diagnosis Moirangthem Tiken Singh AI4CE 30 1 0 13 Apr 2025
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation Peizhi Niu Yu-Hsiang Wang Vishal Rana Chetan Rupakheti Abhishek Pandey O. Milenkovic 21 0 0 08 Apr 2025
Deep spatio-temporal point processes: Advances and new directions Xiuyuan Cheng Zheng Dong Yao Xie AI4TS 23 0 0 08 Apr 2025
Decentralizing AI Memory: SHIMI, a Semantic Hierarchical Memory Index for Scalable Agent Reasoning Tooraj Helmi 18 0 0 08 Apr 2025
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting Shuai Han Lukas Stelz Thomas R. Sokolowski K. Zhou H. Stocker 21 0 0 07 Apr 2025
Sparsity-Aware Communication for Distributed Graph Neural Network Training Ujjaini Mukhodopadhyay Alok Tripathy Oguz Selvitopi Katherine Yelick A. Buluç 39 1 0 07 Apr 2025
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks Kleanthis Malialis S. Filippou C. Panayiotou Marios M. Polycarpou AI4TS 24 0 0 06 Apr 2025
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning Xiao-Hui Li Fei Yin Cheng-Lin Liu 18 0 0 05 Apr 2025
Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning Bouarfa Mahi Quantiota 25 0 0 04 Apr 2025
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training Rajeev Kumar Harishankar Kumar Kumari Shalini 42 0 0 01 Apr 2025
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks Fangtong Zhou Xiaorui Liu Ruozhou Yu G. Xue GNN 44 0 0 31 Mar 2025
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching Zizhuo Li Yifan Lu Linfeng Tang S. Zhang Jiayi Ma 44 1 0 31 Mar 2025
MolGround: A Benchmark for Molecular Grounding Jiaxin Wu Ting Zhang Rubing Chen Wengyu Zhang Chen Jason Zhang Xiaoyong Wei Li Qing 41 0 0 31 Mar 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Z. Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 44 0 0 29 Mar 2025
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks Y. Lai Yulin Zhu Y. Sun Y. Wu Bin Xiao Gaolei Li Jianhua Li Kai Zhou AAML 38 0 0 29 Mar 2025
FRASE: Structured Representations for Generalizable SPARQL Query Generation Papa Abdou Karim Karou Diallo Amal Zouaq 37 0 0 28 Mar 2025
A Local Perspective-based Model for Overlapping Community Detection Gaofeng Zhou Rui-Feng Wang Kangning Cui 42 1 0 27 Mar 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition input Tin T. Tran V. Snasel GNN 37 3 0 27 Mar 2025
Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection Junhao Wu Yixin Yang Chengxiang Jin Silu Mu Xiaolei Qian Jiajun Zhou Shanqing Yu Qi Xuan 34 1 0 27 Mar 2025
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids Dhruv Suri Mohak Mangal AI4TS 32 0 0 26 Mar 2025
Causal invariant geographic network representations with feature and structural distribution shifts Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 53 0 0 25 Mar 2025
Graph neural networks extrapolate out-of-distribution for shortest paths Robert Nerem Samantha Chen Sanjoy Dasgupta Yusu Wang 37 0 0 24 Mar 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks Maryam Abdolali Romina Zakerian Behnam Roshanfekr Fardin Ayar Mohammad Rahmati 45 0 0 22 Mar 2025
NdLinear Is All You Need for Representation Learning Alex Reneau Jerry Yao-Chieh Hu Zhongfang Zhuang Ting-Chun Liu HAI 34 0 0 21 Mar 2025
Learning to quantify graph nodes A. Micheli Alejandro Moreo Marco Podda Fabrizio Sebastiani William Simoni Domenico Tortorella 51 0 0 19 Mar 2025
Spatio-Temporal Graph Neural Networks for Infant Language Acquisition Prediction Andrew Roxburgh Floriana Grasso Terry R. Payne GNN 62 0 0 18 Mar 2025
COSMOS: Continuous Simplicial Neural Networks Aref Einizade Dorina Thanou Fragkiskos D. Malliaros Jhony H. Giraldo AI4CE 53 0 0 17 Mar 2025
Learning Privacy from Visual Entities Alessio Xompero Andrea Cavallaro SSL GNN 61 0 0 16 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 78 0 0 15 Mar 2025
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks Hyunwoo Park Baekryun Seong Sang-Ki Ko GNN 57 0 0 14 Mar 2025
GNNs as Predictors of Agentic Workflow Performances Y. Zhang Yuchen Hou Bohan Tang Shuo Chen Muhan Zhang Xiaowen Dong S. Chen LLMAG AI4CE 58 0 0 14 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective Y. Wang Wenqi Fan Suhang Wang Yao Ma 36 0 0 13 Mar 2025
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network Julian Carvajal Rico A. Alaeddini Syed Hasib Akhter Faruqui S. Fisher-Hoch J. McCormick 63 0 0 13 Mar 2025