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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations Zhicheng Ren Zhiping Xiao Yizhou Sun 99 0 0 04 Sep 2024
VLSI Hypergraph Partitioning with Deep Learning Muhammad Hadir Khan Bugra Onal Eren Dogan Matthew R. Guthaus GNN 75 0 0 02 Sep 2024
Debiasing Graph Representation Learning based on Information Bottleneck Ziyi Zhang Mingxuan Ouyang Wanyu Lin Hao Lan Lei Yang FaML 77 0 0 02 Sep 2024
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning Haoran Yang Xiangyu Zhao Sirui Huang Qing Li Guandong Xu 91 4 0 02 Sep 2024
Curvy: A Parametric Cross-section based Surface Reconstruction Aradhya Neeraj Mathur Apoorv Khattar Ojaswa Sharma 59 0 0 01 Sep 2024
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph Yuxiang Wang Xiao Yan Shiyu Jin Quanqing Xu Chuanhui Yang Yuanyuan Zhu Chuang Hu Bo Du Jiawei Jiang VLM 63 0 0 01 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang GNN 74 0 0 01 Sep 2024
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid Subhankar Sarkar Souvik Chakraborty 75 1 0 01 Sep 2024
Leveraging Graph Neural Networks to Forecast Electricity Consumption Eloi Campagne Yvenn Amara-Ouali Y. Goude Argyris Kalogeratos AI4TS 82 1 0 30 Aug 2024
TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis Lena Sasal Daniel Busby Abdenour Hadid 70 1 0 29 Aug 2024
Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions Dang Viet Anh Nguyen J. Victor Flensburg Fabrizio Cerreto Bianca Pascariu Paola Pellegrini Carlos Lima Azevedo Filipe Rodrigues AI4TS AI4CE 105 0 0 28 Aug 2024
Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks Junhao Shen Mohammad Ausaf Ali Haqqani Beichen Hu Cheng Huang Xihao Xie Tsengdar Lee Jia Zhang 49 1 0 27 Aug 2024
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration Runzhen Xue Yurui Lai Dengke Han Zhimin Tang Mingyu Yan Xiaochun Ye GNN 56 0 0 27 Aug 2024
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning Sakhinana Sagar Srinivas Venkataramana Runkana AI4CE 85 2 0 27 Aug 2024
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies Christos Theodoropoulos N. Mulligan Joao H. Bettencourt-Silva 70 0 0 27 Aug 2024
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey Zihao Li Chao Yang Yakun Chen Xianzhi Wang Hongxu Chen Guandong Xu Lina Yao Quan Z. Sheng GNN 17 10 0 27 Aug 2024
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model Yasir Ali Farrukh S. Wali I. Khan Nathaniel D. Bastian 468 3 0 27 Aug 2024
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts Susu Cui Xueying Han Dongqi Han Zhiliang Wang Weihang Wang Yun Li Bo Jiang Baoxu Liu Zhigang Lu 47 1 0 26 Aug 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 151 3 0 26 Aug 2024
Multi-SIGATnet: A multimodal schizophrenia MRI classification algorithm using sparse interaction mechanisms and graph attention networks Yuhong Jiao Jiaqing Miao Jinnan Gong Hui He Ping Liang Cheng Luo Ying Tan 58 0 0 25 Aug 2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification S. Akansha 80 0 0 25 Aug 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 73 19 0 25 Aug 2024
GNN: Graph Neural Network and Large Language Model for Data Discovery Thomas Hoang 32 1 0 24 Aug 2024
Disentangled Generative Graph Representation Learning Xinyue Hu Zhibin Duan Xinyang Liu Yuxin Li Bo Chen Mingyuan Zhou 129 0 0 24 Aug 2024
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks Amirhossein Nouranizadeh Fatemeh Tabatabaei Far Mohammad Rahmati AI4TS 78 2 0 22 Aug 2024
Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation Ali Falahati Mohammad Mohammadi Amiri 34 1 0 22 Aug 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation Junyu Luo Zhiping Xiao Yifan Wang Xiao Luo Jingyang Yuan Wei Ju Langechuan Liu Ming Zhang 99 8 0 22 Aug 2024
Cell-ontology guided transcriptome foundation model Xinyu Yuan Zhihao Zhan Zuobai Zhang Manqi Zhou Jianan Zhao Boyu Han Yue Li Jian Tang 140 2 0 22 Aug 2024
Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs Longwen Wang Jianchun Liu Zhi Liu Jinyang Huang AI4CE FedML 69 0 0 21 Aug 2024
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks Zhengjia Xu Dingyang Lyu Jinghui Zhang GNN 124 0 0 21 Aug 2024
Graph Classification via Reference Distribution Learning: Theory and Practice Zixiao Wang Jicong Fan 66 0 0 21 Aug 2024
Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation Ajay Chatterjee Srikanth Ranganathan 131 0 0 21 Aug 2024
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge Graphs Mayank Kharbanda R. Shah Raghava Mutharaju 89 0 0 21 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization Xiaodong Yang Xiaoting Li Huiyuan Chen Yiwei Cai AAML 61 0 0 20 Aug 2024
Quantum Artificial Intelligence: A Brief Survey Matthias Klusch Jorg Lassig Daniel Mussig A. Macaluso Frank K. Wilhelm 97 5 0 20 Aug 2024
SEMDR: A Semantic-Aware Dual Encoder Model for Legal Judgment Prediction with Legal Clue Tracing Pengjie Liu Wang Zhang Yulong Ding Xuefeng Zhang Shuang-Hua Yang AILaw 85 2 0 19 Aug 2024
Community-Centric Graph Unlearning Yi Li Shichao Zhang Guixian Zhang Debo Cheng MU 100 1 0 19 Aug 2024
Heta: Distributed Training of Heterogeneous Graph Neural Networks Yuchen Zhong Junwei Su Chuan Wu Minjie Wang 66 1 0 19 Aug 2024
Advancements in Molecular Property Prediction: A Survey of Single and Multimodal Approaches Tanya Liyaqat T. Ahmad Chandni Saxena 96 3 0 18 Aug 2024
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge Nuo Xu Peijie Wang Junzhou Zhao Feiyang Sun Lin Lan Jing Tao Li Pan Xiaohong Guan AILaw 128 2 0 18 Aug 2024
Federated Graph Learning with Structure Proxy Alignment Xingbo Fu Zihan Chen Binchi Zhang Chen Chen Jundong Li FedML 91 8 0 18 Aug 2024
E-CGL: An Efficient Continual Graph Learner Jianhao Guo Zixuan Ni Yun Zhu Siliang Tang CLL 101 0 0 18 Aug 2024
Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs Hao Li Hao Jiang Jiajun Fan Dongsheng Ye Liang Du 61 3 0 17 Aug 2024
SA-GDA: Spectral Augmentation for Graph Domain Adaptation Jinhui Pang Zixuan Wang Jiliang Tang Mingyan Xiao Nan Yin OOD 112 22 0 17 Aug 2024
Representation Learning of Geometric Trees Zheng Zhang Allen Zhang Ruth Nelson Giorgio Ascoli Liang Zhao 50 0 0 16 Aug 2024
Mitigating Degree Bias in Signed Graph Neural Networks Fang He Jinhai Deng Ruizhan Xue Maojun Wang Zeyu Zhang 74 3 0 16 Aug 2024
Graph Retrieval-Augmented Generation: A Survey Boci Peng Yun Zhu Yongchao Liu Xiaohe Bo Haizhou Shi Chuntao Hong Yan Zhang Siliang Tang 3DV 115 113 0 15 Aug 2024
Relational Graph Convolutional Networks Do Not Learn Sound Rules Matthew Morris David Tena Cucala Bernardo Cuenca Grau Ian Horrocks 67 0 0 14 Aug 2024
Towards Few-shot Self-explaining Graph Neural Networks Jingyu Peng Qi Liu Linan Yue Zaixi Zhang Kai Zhang Yunhao Sha MILM 79 2 0 14 Aug 2024
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models Jialiang Wang Shimin Di Hanmo Liu Zhili Wang Jiachuan Wang Lei Chen Xiaofang Zhou 83 0 0 13 Aug 2024