Papers citing 'Inductive Representation Learning on Large Graphs'

Title
Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations G. de Romémont F. Renac F. Chinesta J. Nunez D. Gueyffier AI4CE 81 0 0 22 Jul 2025
Learning to Gridize: Segment Physical World by Wireless Communication Channel Juntao Wang Feng Yin Tian Ding Tsung-Hui Chang Jianfeng Yao Qi Yan 65 0 0 21 Jul 2025
Spatio-Temporal Demand Prediction for Food Delivery Using Attention-Driven Graph Neural Networks Rabia Latief Bhat Iqra Altaf Gillani 71 0 0 21 Jul 2025
Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning Anwar Said Yifan Wei O. Ahmad Mudassir Shabbir W. Abbas X. Koutsoukos 242 0 0 21 Jul 2025
Graph Attention Specialized Expert Fusion Model for Node Classification: Based on Cora and Pubmed Datasets Zihang Ma Qitian Yin 93 0 0 21 Jul 2025
Research on the application of graph data structure and graph neural network in node classification/clustering tasks Yihan Wang Jianing Zhao GNN 97 0 0 20 Jul 2025
ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions Yule Li Yifeng Lu Zhen Wang Zhewei Wei Yaliang Li Bolin Ding DiffM BDL 108 1 0 19 Jul 2025
BikeVAE-GNN: A Variational Autoencoder-Augmented Hybrid Graph Neural Network for Sparse Bicycle Volume Estimation Mohit Gupta Debjit Bhowmick Ben Beck GNN 94 0 0 18 Jul 2025
A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction Yuehua Song Yong Gao 62 0 0 15 Jul 2025
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training Seth Ockerman Amal Gueroudji Tanwi Mallick Yixuan He Line Pouchard Robert B. Ross Shivaram Venkataraman GNN 298 1 0 15 Jul 2025
Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs Michal Podstawski 79 1 0 14 Jul 2025
Atherosclerosis through Hierarchical Explainable Neural Network Analysis Irsyad Adam Steven Swee Erika Yilin Ethan Ji William Speier Dean Wang Alex Bui Wei Wang Karol Watson Peipei Ping 220 0 0 10 Jul 2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Yudan Song Yuecen Wei Yuhang Lu Qingyun Sun Minglai Shao Li-e Wang Chunming Hu Xianxian Li Xingcheng Fu 157 0 0 09 Jul 2025
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Yaowen Hu Wenxuan Tu Yue Liu Xinhang Wan Junyi Yan Taichun Zhou Xinwang Liu 201 0 0 09 Jul 2025
Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits Shan Shen Shenglu Hua Jiajun Zou Jiawei Liu Jianwang Zhai Chuan Shi Wenjian Yu 253 0 0 09 Jul 2025
NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification Jun Hu Yufei He Yuan N. Li Bryan Hooi Bingsheng He 85 0 0 07 Jul 2025
Graph Neural Networks for Electricity Load Forecasting Eloi Campagne Itai Zehavi Yvenn Amara-Ouali Y. Goude Argyris Kalogeratos AI4TS 81 0 0 04 Jul 2025
Multi-Level Fusion Graph Neural Network for Molecule Property Prediction XiaYu Liu Chao Fan Yang Liu Hou-biao Li AI4CE 90 0 0 04 Jul 2025
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification Yancheng Wang Yingzhen Yang 257 2 0 01 Jul 2025
Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations Kunal Mukherjee Zachary Harrison Saeid Balaneshin 246 0 0 01 Jul 2025
Understanding Generalization in Node and Link Prediction Antonis Vasileiou Timo Stoll Christopher Morris AI4CE 216 0 0 01 Jul 2025
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning Félix Lefebvre Gaël Varoquaux 108 0 0 01 Jul 2025
Cooperative Sheaf Neural Networks André Ribeiro Ana Luiza Tenório Juan Belieni Amauri Souza Diego Mesquita GNN 200 0 0 01 Jul 2025
Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing Siyuan Li Yan Wen Ruitong Liu Te Sun Ruihao Zhou Jingyi Kang Yunjia Wu 124 0 0 29 Jun 2025
Flow-Modulated Scoring for Semantic-Aware Knowledge Graph Completion Siyuan Li Ruitong Liu Yan Wen Te Sun Andi Zhang Yanbiao Ma Xiaoshuai Hao 157 0 0 29 Jun 2025
FoGE: Fock Space inspired encoding for graph prompting Sotirios Panagiotis Chytas Rudrasis Chakraborty Vikas Singh AI4CE 178 0 0 26 Jun 2025
PlaceFM: A Training-free Geospatial Foundation Model of Places using Large-Scale Point of Interest Data Mohammad Hashemi Hossein Amiri Andreas Zufle 131 0 0 25 Jun 2025
Ontology Neural Network and ORTSF: A Framework for Topological Reasoning and Delay-Robust Control Jaehong Oh 152 0 0 24 Jun 2025
NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration Yan Jiang Hao Zhou LiZhong GU Ai Han TianLong Li 124 0 0 24 Jun 2025
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation Penglong Zhai Yifang Yuan Fanyi Di Jie Li Y. Liu Chen Li Jie Huang S. Wang Yao Xu X. Li 155 1 0 20 Jun 2025
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction Ana Kostovska Carola Doerr Sašo Džeroski P. Panov T. Eftimov 125 0 0 19 Jun 2025
SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Siddharth Viswanath Rahul Singh Yanlei Zhang J. Adam Noah Joy Hirsch Smita Krishnaswamy 132 0 0 19 Jun 2025
SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender SystemsInternational Conference on the Theory of Information Retrieval (ICTIR), 2025 Tan Loc Nguyen Tin T. Tran 102 0 0 19 Jun 2025
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures Vijay Prakash Dwivedi Charilaos I. Kanatsoulis Shenyang Huang Jure Leskovec GNN 3DV 205 5 0 19 Jun 2025
Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSIWorkshop on Machine Learning for CAD (ML4CAD), 2025 Hang Yang Yusheng Hu Yong Liu Cong 107 0 0 18 Jun 2025
KG-FGNN: Knowledge-guided GNN Foundation Model for Fertilisation-oriented Soil GHG Flux Prediction Yu Zhang Gaoshan Bi Simon Jeffery Max Davis Yang Li Qing Xue Po-Sung Yang AI4CE 125 0 0 18 Jun 2025
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie 246 10 0 17 Jun 2025
sHGCN: Simplified hyperbolic graph convolutional neural networks Pol Arévalo Alexis Molina Álvaro Ciudad 119 0 0 17 Jun 2025
Automated Decision-Making on Networks with LLMs through Knowledge-Guided EvolutionInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Xiaohan Zheng Lanning Wei Yong Li Quanming Yao GNN 131 0 0 17 Jun 2025
Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems Md Abrar Jahin Adiba Abid M. F. Mridha 214 0 0 16 Jun 2025
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion ApproachIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 Qingfeng Chen Shiyuan Li Yixin Liu Shirui Pan Geoffrey I. Webb Shichao Zhang EDL 270 7 0 16 Jun 2025
Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn Shihai He Julie Choi Tianqi Li Zhiwei Ding Peng Du ... Franco Liang Fedor Borisyuk Padmini Jaikumar Xiaobing Xue Viral Gupta GNN 134 1 0 15 Jun 2025
Base3: a simple interpolation-based ensemble method for robust dynamic link prediction Kondrup Emma 151 1 0 15 Jun 2025
MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination Ao Jia Haiming Wu Guohui Yao D. Song Songkun Ji Yazhou Zhang 175 0 0 14 Jun 2025
Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks Pranjal Naman Yogesh Simmhan FedML AI4CE 130 0 0 14 Jun 2025
Learning Mappings in Mesh-based SimulationsStructural And Multidisciplinary Optimization (SMO), 2025 Shirin Hosseinmardi Ramin Bostanabad AI4CE 132 0 0 14 Jun 2025
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks Qihai Zhang Xinyue Sheng Yuanfu Sun Qiaoyu Tan AAML 108 2 0 13 Jun 2025
Directed Acyclic Graph Convolutional Networks Samuel Rey Hamed Ajorlou Gonzalo Mateos GNN CML AI4CE 140 0 0 13 Jun 2025
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? Michela Lapenna Caterina De Bacco 281 1 0 13 Jun 2025
Taxonomy of reduction matrices for Graph Coarsening Antonin Joly Nicolas Keriven Aline Roumy 177 1 0 13 Jun 2025