Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,061 papers shown

Title
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 68 0 0 15 Mar 2025
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors Jun-Gi Jang Jingrui He A. Margenot Hanghang Tong 38 0 0 14 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
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 76 5 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 43 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 89 2 0 06 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data Vipul Garg Ishita Thakre Sayan Ranu MoMe 82 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 77 0 0 04 Mar 2025
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 50 0 0 04 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 52 1 0 03 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 55 1 0 03 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
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 52 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 41 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
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation Yansen Wang Xinnan Dai Wenqi Fan Yao Ma 76 1 0 26 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 38 0 0 24 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 98 2 0 24 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 82 3 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 63 1 0 24 Feb 2025
Scale-Free Graph-Language Models Jianglin Lu Yixuan Liu Yitian Zhang Y. Fu 73 1 0 24 Feb 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 72 22 0 24 Feb 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning Yang Chen Bin Zhou AAML FedML 43 0 0 24 Feb 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 46 0 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 102 1 0 21 Feb 2025
Towards Invariance to Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 65 1 0 20 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 102 3 0 20 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 78 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 83 3 0 20 Feb 2025
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment Haoyuan Wu Haisheng Zheng Yuan Pu Bei Yu 61 1 0 18 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks Bingheng Li Z. Chen Haoyu Han Shenglai Zeng J. Liu Jiliang Tang 48 0 0 18 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 76 2 0 14 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 114 0 0 13 Feb 2025
Graph Diffusion Network for Drug-Gene Prediction Jiayang Wu Wensheng Gan Philip S. Yu MedIm 63 0 0 13 Feb 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karish Grover Geoffrey J. Gordon Christos Faloutsos 73 0 0 12 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 74 3 0 12 Feb 2025
HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data Siddharth Viswanath Hiren Madhu Dhananjay Bhaskar Jake Kovalic Dave Johnson Rex Ying Christopher J. Tape Ian M. Adelstein Michael Perlmutter Smita Krishnaswamy 3DPC 90 1 0 11 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 70 1 0 11 Feb 2025
Prompt-Driven Continual Graph Learning Qi Wang Tianfei Zhou Ye Yuan Rui Mao CLL 47 0 0 10 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 137 0 0 09 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 58 1 0 08 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 106 2 0 05 Feb 2025
Prediction of the Most Fire-Sensitive Point in Building Structures with Differentiable Agents for Thermal Simulators Yuan Xinjie Khalid M. Mosalam AI4CE 76 0 0 05 Feb 2025
Towards graph neural networks for provably solving convex optimization problems Chendi Qian Christopher Morris 52 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 68 1 0 04 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng Shan Huang Qiang Xu Zhengyuan Shi Guohao Dai Ningyi Xu Qiang Xu GNN 89 2 0 02 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning Srinitish Srinivasan Omkumar CU SSL BDL 49 0 0 02 Feb 2025