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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
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Chen Luo Hui Liu Jiliang Tang 127 8 0 05 Jun 2024
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data Jianping Zhou Bin Lu Zhanyu Liu Siyu Pan Xuejun Feng Hua Wei Guanjie Zheng Xinbing Wang Chenghu Zhou 85 2 0 05 Jun 2024
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs Shuqi He Jun Zhuang Ding Wang Luyao Peng Jun Song AAML 83 1 0 05 Jun 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo Hong Huang Yongkang Zhou Jiping Zhang Nuo Chen 83 1 0 05 Jun 2024
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks Yucheng Wu Liyue Chen Yu Cheng Shuai Chen Jinyu Xu Leye Wang GNN 113 0 0 05 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper Xinyi Wu Ali Jadbabaie Michael T. Schaub 225 9 0 05 Jun 2024
GEFL: Extended Filtration Learning for Graph Classification Simon Zhang Soham Mukherjee T. Dey 149 11 0 04 Jun 2024
Temporal Graph Rewiring with Expander Graphs Katarina Petrović Shenyang Huang Farimah Poursafaei Petar Velickovic AI4CE 113 4 0 04 Jun 2024
Graph Adversarial Diffusion Convolution Songtao Liu Jinghui Chen Tianfan Fu Lu Lin Marinka Zitnik Dinghao Wu DiffM 102 1 0 04 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 114 2 0 04 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 89 7 0 03 Jun 2024
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu Xinping Yi Sihao Wu Xiangyu Yin Tianle Zhang Xiaowei Huang Shi Jin 111 1 0 03 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Ya-Wei Eileen Lin Ronen Talmon Ron Levie 94 0 0 03 Jun 2024
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion Qinggang Zhang Keyu Duan Junnan Dong Pai Zheng Xiao Huang 118 3 0 03 Jun 2024
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning Junjie Xu Zongyu Wu Min Lin Xiang Zhang Suhang Wang 129 18 0 03 Jun 2024
State Space Models on Temporal Graphs: A First-Principles Study Jintang Li Ruofan Wu Xinzhou Jin Boqun Ma Liang Chen Zibin Zheng 123 6 0 03 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 141 2 0 03 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang Xiaobing Pei Kai Yuan 122 0 0 02 Jun 2024
A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections Jewel Rana Palit Osama A Osman 43 0 0 02 Jun 2024
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 104 3 0 01 Jun 2024
GATE: How to Keep Out Intrusive Neighbors Nimrah Mustafa R. Burkholz 138 1 0 01 Jun 2024
Posterior Label Smoothing for Node Classification Jaeseung Heo M. Park Dongwoo Kim UQCV 92 0 0 01 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 122 11 0 31 May 2024
Graph External Attention Enhanced Transformer Jianqing Liang Min Chen Jiye Liang 94 2 0 31 May 2024
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie GNN 86 6 0 31 May 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang Sunwoo Kim Kijung Shin Zenglin Xu Shirui Pan Yuan Qi 122 8 0 31 May 2024
Heterophilous Distribution Propagation for Graph Neural Networks Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu 106 0 0 31 May 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs Zhiheng Zhou Sihao Liu Weichen Zhao 84 0 0 30 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 145 2 0 30 May 2024
Matrix Manifold Neural Networks++ Xuan Son Nguyen Shuo Yang A. Histace 79 6 0 29 May 2024
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge Yuxi Han Jihe Wang Danghui Wang 86 1 0 29 May 2024
UniIF: Unified Molecule Inverse Folding Zhangyang Gao Jue Wang Cheng Tan Lirong Wu Yufei Huang Siyuan Li Zhirui Ye Stan Z. Li 80 6 0 29 May 2024
Node Injection Attack Based on Label Propagation Against Graph Neural Network Peican Zhu Zechen Pan Keke Tang Xiaodong Cui Jinhuan Wang Qi Xuan AAML 79 3 0 29 May 2024
Learning from Litigation: Graphs and LLMs for Retrieval and Reasoning in eDiscovery Sounak Lahiri Sumit Pai Tim Weninger Sanmitra Bhattacharya AILaw 102 0 0 29 May 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation Bruno Deprez Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke 240 5 0 29 May 2024
Valid Conformal Prediction for Dynamic GNNs Ed Davis Ian Gallagher Daniel J. Lawson Patrick Rubin-Delanchy AI4CE 247 4 0 29 May 2024
D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks Haoyu Hu Hongrun Zhang Chao Li 52 0 0 28 May 2024
Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction Fatemeh Nassajian Mojarrad Lorenzo Bini Thomas Matthes Stéphane Marchand-Maillet AI4CE 136 0 0 28 May 2024
Don't Forget to Connect! Improving RAG with Graph-based Reranking Jialin Dong Bahare Fatemi Bryan Perozzi Lin F. Yang Anton Tsitsulin 125 29 0 28 May 2024
Graph Coarsening with Message-Passing Guarantees Antonin Joly Nicolas Keriven 75 2 0 28 May 2024
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks Wanlin Cai Kun Wang Hao Wu Xiaoxu Chen Yuankai Wu AI4TS 51 0 0 28 May 2024
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation Shanshan Wang Hao Zhou Xun Yang Zhenwei He Meng Wang Xingyi Zhang Meng Wang 104 0 0 28 May 2024
Revisiting the Message Passing in Heterophilous Graph Neural Networks Zhuonan Zheng Yuanchen Bei Sheng Zhou Yao Ma Ming Gu Hongjia Xu Chengyu Lai Jiawei Chen Jiajun Bu 137 1 0 28 May 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search Mucong Ding Yuancheng Xu Tahseen Rabbani Xiaoyu Liu Brian J Gravelle Teresa M. Ranadive Tai-Ching Tuan Furong Huang DD 77 0 0 27 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 94 3 0 27 May 2024
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding Niloofar Azizi Mohsen Fayyaz Horst Bischof 97 0 0 27 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 124 4 0 27 May 2024
Survey of Graph Neural Network for Internet of Things and NextG Networks Sabarish Krishna Moorthy Jithin Jagannath 81 2 0 27 May 2024
Graph Neural Networks on Quantum Computers Yidong Liao Xiao-Ming Zhang Chris Ferrie GNN 81 5 0 27 May 2024
Graph Condensation for Open-World Graph Learning Xin Gao Tong Chen Wentao Zhang Yayong Li Xiangguo Sun Hongzhi Yin 130 8 0 27 May 2024