How Powerful are Graph Neural Networks?

1 October 2018

Papers citing "How Powerful are Graph Neural Networks?"

50 / 1,134 papers shown

Title
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation Peiyu Liang Hongchang Gao Xubin He 30 0 0 04 Jun 2024
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge Yuxi Han Jihe Wang Danghui Wang 55 1 0 29 May 2024
UniIF: Unified Molecule Inverse Folding Zhangyang Gao Jue Wang Cheng Tan Lirong Wu Yufei Huang Siyuan Li Zhirui Ye Stan Z. Li 37 4 0 29 May 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation Bruno Deprez Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke 47 4 0 29 May 2024
Don't Forget to Connect! Improving RAG with Graph-based Reranking Jialin Dong Bahare Fatemi Bryan Perozzi Lin F. Yang Anton Tsitsulin 50 25 0 28 May 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 35 2 0 27 May 2024
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction Zeyu Wang Tianyi Jiang Yao Lu Xiaoze Bao Shanqing Yu Bin Wei Qi Xuan 42 1 0 24 May 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 42 1 0 24 May 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 52 5 0 24 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 37 1 0 24 May 2024
Cardinality Estimation on Hyper-relational Knowledge Graphs Fei Teng Haoyang Li Shimin Di Lei Chen 69 3 0 24 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 74 41 0 23 May 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 27 2 0 21 May 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 43 2 0 21 May 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 42 3 0 21 May 2024
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning D. Ngo Kandaraj Piamrat Ons Aouedi Thomas Hassan Philippe Raipin-Parvédy AI4TS 28 0 0 14 May 2024
Link Stealing Attacks Against Inductive Graph Neural Networks Yixin Wu Xinlei He Pascal Berrang Mathias Humbert Michael Backes Neil Zhenqiang Gong Yang Zhang 34 2 0 09 May 2024
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents Yanfei Dong Lambert Deng Jiazheng Zhang Xiaodong Yu Ting Lin Francesco Gelli Soujanya Poria W. Lee 32 0 0 08 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 42 4 0 05 May 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders Chuang Liu Yuyao Wang Yibing Zhan Xueqi Ma Dapeng Tao Jia Wu Wenbin Hu 51 4 0 24 Apr 2024
Solving the Tree Containment Problem Using Graph Neural Networks A. Dushatskiy Esther Julien Leen Stougie L. Iersel 42 0 0 15 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 34 0 0 15 Apr 2024
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting Yuqing Cheng Bo Chen Fanjin Zhang Jie Tang 27 3 0 12 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 34 7 0 04 Apr 2024
GINopic: Topic Modeling with Graph Isomorphism Network Suman Adhya Debarshi Kumar Sanyal 34 4 0 02 Apr 2024
DE-HNN: An effective neural model for Circuit Netlist representation Zhishang Luo Truong Son-Hy Puoya Tabaghi Donghyeon Koh Michael Defferrard Elahe Rezaei Ryan Carey William Rhett Davis Rajeev Jain Yusu Wang 16 5 0 30 Mar 2024
Clustering for Protein Representation Learning Ruijie Quan Wenguan Wang Fan Ma Hehe Fan Yi Yang 29 5 0 30 Mar 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 40 4 0 27 Mar 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks Yongyi Yang Jiaming Yang Wei Hu Michal Dereziñski 48 0 0 26 Mar 2024
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning Dillon Z. Chen Felipe W. Trevizan Sylvie Thiébaux VLM 35 7 0 25 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 70 1 0 19 Mar 2024
Graph Unitary Message Passing Haiquan Qiu Yatao Bian Quanming Yao 34 2 0 17 Mar 2024
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis Jiawen Li Yuxuan Chen Hongbo Chu Qiehe Sun Tian Guan Anjia Han Yonghong He 32 25 0 12 Mar 2024
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain Jungwon Choi Hyungi Lee Byung-Hoon Kim Juho Lee 80 0 0 11 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 35 0 07 Mar 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 32 3 0 06 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN SSL 32 2 0 06 Mar 2024
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm Zhiding Liang Gang Liu Zheyuan Liu Jinglei Cheng Tianyi Hao ... Hang Ren Zhixin Song Ji Liu Fanny Ye Yiyu Shi AI4CE 35 4 0 05 Mar 2024
$Uniform $\mathcal{C}^k$ Approximation of $G$-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations$ Uniform $\mathcal{C}^k$ Approximation of $G$ -Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations Soumya Ganguly Khoa Tran Rahul Sarkar 36 0 0 02 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 43 0 0 02 Mar 2024
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions Mengying Jiang Guizhong Liu Yuanchao Su Weiqiang Jin Biao Zhao 21 2 0 28 Feb 2024
TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning Mingqi Lv HongZhe Gao Xuebo Qiu Tieming Chen Tiantian Zhu 30 2 0 23 Feb 2024
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks Yifan Duan Guibin Zhang Shilong Wang Xiaojiang Peng Ziqi Wang Junyuan Mao Hao Wu Xinke Jiang Kun Wang 41 6 0 22 Feb 2024
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding Lirong Wu Yijun Tian Yufei Huang Siyuan Li Haitao Lin Nitesh V. Chawla Stan Z. Li 28 22 0 22 Feb 2024
Representation Learning for Frequent Subgraph Mining Rex Ying Tianyu Fu Andrew Wang Jiaxuan You Yu Wang J. Leskovec GNN 24 1 0 22 Feb 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 32 3 0 21 Feb 2024
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors Yongquan He Zhihan Wang Peng Zhang Zhaopeng Tu Z. Ren 26 20 0 21 Feb 2024
Harnessing Large Language Models as Post-hoc Correctors Zhiqiang Zhong Kuangyu Zhou Davide Mottin 28 4 0 20 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs Kaiwen Dong Haitao Mao Zhichun Guo Nitesh V. Chawla 21 4 0 12 Feb 2024
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment Xabier Echeberria-Barrio Amaia Gil-Lerchundi Jon Egana-Zubia Raul Orduna Urrutia AAML 21 6 0 12 Feb 2024