How Powerful are Graph Neural Networks?

1 October 2018

Papers citing "How Powerful are Graph Neural Networks?"

50 / 1,116 papers shown

Title
Towards Invariance to Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 56 1 0 20 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 102 3 0 20 Feb 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation Zhiyuan Liu Yanchen Luo Han Huang Enzhi Zhang Sihang Li Junfeng Fang Yaorui Shi X. Wang Kenji Kawaguchi Tat-Seng Chua 100 3 0 18 Feb 2025
MassSpecGym: A benchmark for the discovery and identification of molecules Roman Bushuiev Anton Bushuiev Niek F. de Jonge A. Young Fleming Kretschmer ... Justin J. J. van der Hooft Michael A. Stravs Sebastian Böcker Josef Sivic Tomáš Pluskal 41 4 0 17 Feb 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 141 0 0 15 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 70 2 0 14 Feb 2025
HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data Siddharth Viswanath Hiren Madhu Dhananjay Bhaskar Jake Kovalic Dave Johnson Rex Ying Christopher J. Tape Ian M. Adelstein Michael Perlmutter Smita Krishnaswamy 3DPC 87 1 0 11 Feb 2025
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Niccolò Grillo Andrea Toccaceli Joël Mathys Benjamin Estermann Stefania Fresca Roger Wattenhofer AI4CE LRM 104 0 0 06 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 104 2 0 05 Feb 2025
RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning Minxiao Chen Haitao Yuan Nan Jiang Zhihan Zheng Sai Wu Ao Zhou S. Wang 48 0 0 05 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md. Atik Ahamed Andrew Cheng Q. Ye Q. Cheng GNN 53 0 0 01 Feb 2025
A Metric for the Balance of Information in Graph Learning Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 46 0 0 31 Jan 2025
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Lars C.P.M. Quaedvlieg 61 0 0 31 Jan 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems Jie Chen AI4CE 59 2 0 28 Jan 2025
DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment Yusif Ibrahimov Tarique Anwar Tommy Yuan 44 0 0 28 Jan 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 78 0 0 28 Jan 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 46 1 0 23 Jan 2025
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks Qishen Zhou Yifan Zhang Michail A. Makridis Anastasios Kouvelas Yibing Wang Simon Hu AI4TS 75 1 0 21 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 30 0 0 21 Jan 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 144 2 0 20 Jan 2025
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models Jiadong Lou Xu Yuan Rui Zhang Xingliang Yuan Neil Gong N. Tzeng AAML 42 1 0 19 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 47 0 0 17 Jan 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition Yanjie Cui Xiaohong Liu Jing Liang Yamin Fu 57 1 0 17 Jan 2025
Higher-Order Topological Directionality and Directed Simplicial Neural Networks M. Lecha Andrea Cavallo Francesca Dominici Elvin Isufi Claudio Battiloro AI4CE 151 2 0 17 Jan 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective Yihong Chen Pushkar Mishra Luca Franceschi Pasquale Minervini Pontus Stenetorp Sebastian Riedel 67 20 0 17 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 49 0 0 17 Jan 2025
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers Markus J. Buehler AI4CE 35 1 0 04 Jan 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 47 0 0 03 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 62 2 0 03 Jan 2025
Discrete Curvature Graph Information Bottleneck Xingcheng Fu Jian Wang Yisen Gao Qingyun Sun Haonan Yuan Jianxin Li Xianxian Li 34 0 0 31 Dec 2024
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Z. Hao 51 7 0 31 Dec 2024
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 58 4 0 31 Dec 2024
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 62 4 0 31 Dec 2024
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights Jingjing Hu D. Guo Zhan Si Deguang Liu Yunfeng Diao J. Zhang Jinxing Zhou Meng Wang Mamba 98 1 0 21 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang Xinkai Wei Min Chen Zhiqiang Wang Jiye Liang 73 0 0 18 Dec 2024
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks Moshe Eliasof Semih Cantürk Guy Wolf Carola-Bibiane Schönlieb Sophie Fellenz Marius Kloft AI4CE 76 0 0 10 Dec 2024
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks Tae-Hoon Lee Min-Soo Kim 81 0 0 29 Nov 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 2024
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective Zhangchi Zhu Wei Zhang 43 0 0 16 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang X. Wang Muhan Zhang 36 1 0 06 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 47 0 0 04 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 49 0 0 03 Nov 2024
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation Bowen Li Zhaoyu Li Qiwei Du Jinqi Luo Wenshan Wang ... Katia P. Sycara Pradeep Kumar Ravikumar Alexander G. Gray X. Si Sebastian A. Scherer AI4CE LRM 81 3 0 01 Nov 2024
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation Mufei Li Siqi Miao Pan Li RALM 32 7 0 28 Oct 2024
Understanding the Effect of GCN Convolutions in Regression Tasks Juntong Chen Johannes Schmidt-Hieber Claire Donnat Olga Klopp GNN 31 0 0 26 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 29 0 0 25 Oct 2024
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs Haolin Li Luana Ruiz Luana Ruiz 37 0 0 22 Oct 2024
Theoretical Insights into Line Graph Transformation on Graph Learning Fan Yang Xingyue Huang 34 0 0 21 Oct 2024
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 29 1 0 20 Oct 2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu Artem Moskalev Tommaso Mansi Mangal Prakash Rui Liao AI4CE 26 1 0 15 Oct 2024