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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,529 papers shown

Title
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 161 0 0 20 Feb 2025
Towards Invariance to Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 189 4 0 20 Feb 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 107 0 0 20 Feb 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 205 3 0 20 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks Bingheng Li Z. Chen Haoyu Han Shenglai Zeng J. Liu Jiliang Tang 88 1 0 18 Feb 2025
Evaluating link prediction: New perspectives and recommendations Bhargavi Kalyani I A Rama Prasad Mathi Niladri Sett 102 0 0 18 Feb 2025
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment Haoyuan Wu Haisheng Zheng Yuan Pu Bei Yu 102 1 0 18 Feb 2025
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer Delvin Ce Zhang Menglin Yang Xiaobao Wu Jiasheng Zhang Hady W. Lauw 169 0 0 17 Feb 2025
MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting Infrastructure Fatih Deniz Mohamed Nabeel Ting Yu Issa M. Khalil 75 1 0 17 Feb 2025
UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs Hao Li Hao Jiang Yuke Zheng Hao Sun Wenying Gong 62 0 0 17 Feb 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo Alessio Gravina Benjamin Gutteridge Federico Barbero Claudio Gallicchio Xiaowen Dong Michael M. Bronstein P. Vandergheynst 151 13 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 143 2 0 14 Feb 2025
Graph Diffusion Network for Drug-Gene Prediction Jiayang Wu Wensheng Gan Philip S. Yu MedIm 138 0 0 13 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 234 0 0 13 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 167 3 0 13 Feb 2025
Enhancing the Utility of Higher-Order Information in Relational Learning Raphael Pellegrin Lukas Fesser Melanie Weber 174 0 0 13 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Yiran Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 121 3 0 12 Feb 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karish Grover Geoffrey J. Gordon Christos Faloutsos 127 0 0 12 Feb 2025
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features Ugochukwu Orji Çiçek Güven Dan Stowell AI4TS 66 0 0 12 Feb 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Wenlin Yao OOD 208 0 0 11 Feb 2025
Prompt-Driven Continual Graph Learning Qi Wang Tianfei Zhou Ye Yuan Rui Mao CLL 142 0 0 10 Feb 2025
RelGNN: Composite Message Passing for Relational Deep Learning Tianlang Chen Charilaos I. Kanatsoulis Jure Leskovec GNN AI4CE 87 4 0 10 Feb 2025
DeepMill: Neural Accessibility Learning for Subtractive Manufacturing Fanchao Zhong Yang Wang Peng Wang Lin Lu Haisen Zhao HAI 99 0 0 10 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 403 4 0 09 Feb 2025
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Ding Hu Pengxiang Hua Zhen Huang 268 0 0 09 Feb 2025
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking Delvin Ce Zhang Dongwon Lee HILM LRM 175 0 0 09 Feb 2025
Norm Augmented Graph AutoEncoders for Link Prediction Yunhui Liu Huaisong Zhang Xinyi Gao Liuye Guo Zhen Tao Tieke He 60 0 0 09 Feb 2025
MDE: Modality Discrimination Enhancement for Multi-modal Recommendation Hang Zhou Yucheng Wang Huijing Zhan 123 0 0 08 Feb 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning Chengkai Han Jingyuan Wang Y. Wang Xie Yu Hao Lin Chao Li Junjie Wu AI4TS 106 1 0 08 Feb 2025
LRA-GNN: Latent Relation-Aware Graph Neural Network with Initial and Dynamic Residual for Facial Age Estimation Yiping Zhang Yuntao Shou Wei Ai Tao Meng Keqin Li CVBM 120 1 0 08 Feb 2025
Prediction of the Most Fire-Sensitive Point in Building Structures with Differentiable Agents for Thermal Simulators Yuan Xinjie Khalid M. Mosalam AI4CE 96 0 0 05 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 273 2 0 05 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally Xiang Wang Muhan Zhang 263 0 0 04 Feb 2025
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction Ruochen Li Tanqiu Qiao Stamos Katsigiannis Zhanxing Zhu Hubert P. H. Shum AI4TS 123 4 0 04 Feb 2025
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning Shengda Zhuo Jiwang Fang Hongguang Lin Yin Tang Min Chen Changdong Wang Shuqiang Huang 78 0 0 04 Feb 2025
Towards graph neural networks for provably solving convex optimization problems Chendi Qian Christopher Morris 98 1 0 04 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks Charilaos I. Kanatsoulis Evelyn Choi Stephanie Jegelka Jure Leskovec Alejandro Ribeiro 142 5 0 03 Feb 2025
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification Jiate Li Binghui Wang AAML 136 2 0 02 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Mohammad T. Teimuri Zahra Dehghanian Gholamali Aminian Hamid R. Rabiee 108 0 0 02 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng Shan Huang Jianyuan Zhong Zhengyuan Shi Guohao Dai Ningyi Xu Qiang Xu GNN 149 4 0 02 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning Srinitish Srinivasan Omkumar CU SSL BDL 157 0 0 02 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md Atik Ahamed Andrew Cheng Qiang Ye Q. Cheng GNN 114 0 0 01 Feb 2025
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning Xudong Fan Jürgen Hackl 122 0 0 01 Feb 2025
Spectro-Riemannian Graph Neural Networks Karish Grover Haiyang Yu Xiang Song Qi Zhu Han Xie V. Ioannidis Christos Faloutsos 162 1 0 01 Feb 2025
Gradual Domain Adaptation for Graph Learning Pui Ieng Lei Ximing Chen Yijun Sheng Yanyan Liu J. Guo Zhiguo Gong OOD 127 0 0 29 Jan 2025
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help? Keqi Han Yao Su Lifang He Liang Zhan Sergey Plis Vince D. Calhoun Carl Yang AI4CE 116 1 0 28 Jan 2025
Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition Junwei Feng Xueyan Fan 581 1 0 28 Jan 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems Jie Chen AI4CE 242 4 0 28 Jan 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 253 1 0 28 Jan 2025
Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum Lanpei Li Jack Bell M. Coppola Vincenzo Lomonaco 89 0 0 28 Jan 2025