Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
BRepFormer: Transformer-Based B-rep Geometric Feature Recognition Yongkang Dai Xiaoshui Huang Yunpeng Bai Hao Guo Hongping Gan Ling Yang Yilei Shi 49 0 0 10 Apr 2025
Deep Learning-based Intrusion Detection Systems: A Survey Zhiwei Xu Yujuan Wu Shiheng Wang Jiabao Gao Tian Qiu Ziqi Wang Hai Wan Xibin Zhao 31 1 0 10 Apr 2025
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction Jinfeng Zhuang Yinrui Li Runze Su Ke Xu Zhixuan Shao ... Qifei Shen Aayush Mudgal Caleb Lu Jiaheng Liu Hongda Shen 37 0 0 10 Apr 2025
Scaling Graph Neural Networks for Particle Track Reconstruction Alok Tripathy A. Lazar X. Ju P. Calafiura Katherine Yelick A. Buluç 38 0 0 07 Apr 2025
Sparsity-Aware Communication for Distributed Graph Neural Network Training Ujjaini Mukhodopadhyay Alok Tripathy Oguz Selvitopi Katherine Yelick A. Buluç 52 1 0 07 Apr 2025
MedGNN: Capturing the Links Between Urban Characteristics and Medical Prescriptions Minwei Zhao S. Šćepanović Stephen Law Daniele Quercia Ivica Obadic 40 0 0 07 Apr 2025
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments Enjun Du Xunkai Li Tian Jin Zhihan Zhang Rong-Hua Li Guoren Wang 48 0 0 01 Apr 2025
LGIN: Defining an Approximately Powerful Hyperbolic GNN Srinitish Srinivasan Omkumar CU AI4CE 53 0 0 31 Mar 2025
Rethinking Graph Structure Learning in the Era of LLMs Zhihan Zhang Xunkai Li Guang Zeng Hongchao Qin Rong-Hua Li Guoren Wang 54 0 0 27 Mar 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition input Tin T. Tran V. Snasel GNN 48 3 0 27 Mar 2025
Causal invariant geographic network representations with feature and structural distribution shifts Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 69 1 0 25 Mar 2025
AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTL Yunsheng Bai Ghaith Bany Hamad Syed Suhaib Haoxing Ren 42 1 0 24 Mar 2025
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding Tianyu Chen Xingcheng Fu Yisen Gao Haodong Qian Yuecen Wei Kun Yan Haoyi Zhou Junlong Li 254 0 0 24 Mar 2025
NdLinear Is All You Need for Representation Learning Alex Reneau Jerry Yao-Chieh Hu Zhongfang Zhuang Ting-Chun Liu HAI 51 0 0 21 Mar 2025
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning Ruobing Jiang Yacong Li Haobing Liu Yanwei Yu 66 0 0 18 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 94 0 0 16 Mar 2025
Weighted Graph Structure Learning with Attention Denoising for Node Classification Tingting Wang Jiaxin Su Haobing Liu Ruobing Jiang 73 0 0 15 Mar 2025
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors Jun-Gi Jang Jingrui He A. Margenot Yangqiu Song 38 0 0 14 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 83 5 0 13 Mar 2025
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features Andreas Peintner Marta Moscati Emilia Parada-Cabaleiro Markus Schedl Eva Zangerle GNN 99 2 0 13 Mar 2025
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 48 0 0 12 Mar 2025
Efficient Neural Clause-Selection Reinforcement Martin Suda 44 0 0 10 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 94 3 0 06 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data Vipul Garg Ishita Thakre Sayan Ranu MoMe 87 0 0 05 Mar 2025
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization Qiyi Wang Yinning Shao Yunlong Ma Min Liu OOD 79 0 0 04 Mar 2025
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 55 0 0 04 Mar 2025
Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention Md Abrar Jahin Shri Kiran Srinivasan M. F. Mridha Md. Jakir Hossen Nilanjan Dey 66 1 0 03 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 57 1 0 03 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 54 1 0 02 Mar 2025
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection Md Abrar Jahin Shri Kiran Srinivasan M. F. Mridha Raihan Kabir Md. Rashedul Islam Yutaka Watanobe Hezerul Abdul Karim 51 0 0 02 Mar 2025
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings Sidharth Agarwal Tanishq Dubey Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 42 0 0 02 Mar 2025
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends Atul Anand Gopalakrishnan Jakir Hossain Tugrulcan Elmas Ahmet Erdem Sariyuce GNN 38 0 0 01 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 55 0 0 01 Mar 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation Yansen Wang Xinnan Dai Wenqi Fan Yao Ma 81 1 0 26 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 100 2 0 24 Feb 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 77 22 0 24 Feb 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 69 1 0 24 Feb 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning Yang Chen Bin Zhou AAML FedML 45 0 0 24 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 45 0 0 24 Feb 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 46 0 0 24 Feb 2025
Scale-Free Graph-Language Models Jianglin Lu Yixuan Liu Yitian Zhang Y. Fu 73 1 0 24 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 84 3 0 24 Feb 2025
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network Dongsheng Chen Yu Feng Xun Li Mingya Qu Peng Luo Liqiu Meng HAI AI4CE 57 0 0 22 Feb 2025
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks Mayar Lotfy Anna Alperovich Tommaso Giannantonio Bjorn Barz Xiaohan Zhang ... Nassir Navab F. Boehm Carolin Schwamborn Thomas K. Hoffmann PatrickJ. Schuler 107 1 0 21 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 86 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 72 1 0 20 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 107 3 0 20 Feb 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 88 3 0 20 Feb 2025
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment Haoyuan Wu Haisheng Zheng Yuan Pu Bei Yu 66 1 0 18 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks Bingheng Li Z. Chen Haoyu Han Shenglai Zeng J. Liu Jiliang Tang 53 0 0 18 Feb 2025