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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,534 papers shown

Title
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 116 10 0 17 Oct 2023
A Local Graph Limits Perspective on Sampling-Based GNNs Yeganeh Alimohammadi Luana Ruiz Amin Saberi 66 3 0 17 Oct 2023
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems Chendi Qian Didier Chételat Christopher Morris 97 19 0 16 Oct 2023
Equivariant Matrix Function Neural Networks Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 91 6 0 16 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 101 4 0 16 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 118 24 0 16 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 84 0 0 16 Oct 2023
Shape-aware Graph Spectral Learning Junjie Xu Enyan Dai Dongsheng Luo Xiang Zhang Suhang Wang 96 3 0 16 Oct 2023
Symmetrical SyncMap for Imbalanced General Chunking Problems Heng Zhang Danilo Vasconcellos Vargas 37 2 0 16 Oct 2023
Riemannian Residual Neural Networks Isay Katsman Eric Chen Sidhanth Holalkere Anna Asch Aaron Lou Ser-Nam Lim Christopher De Sa 86 13 0 16 Oct 2023
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization Andrew Naguib Waleed A. Yousef Issa Traoré Mohammed Mamun 77 0 0 15 Oct 2023
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning Zian Jia Yun Xiong Yuhong Nan Yao Zhang Jinjing Zhao Mi Wen 73 23 0 15 Oct 2023
Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks Renyang Liu Wei Zhou Jinhong Zhang Xiaoyuan Liu Peiyuan Si Haoran Li AAML 69 0 0 15 Oct 2023
Dynamic Link Prediction for New Nodes in Temporal Graph Networks Xiaobo Zhu Yan Wu Qin-Hu Zhang Zhanheng Chen Ying He AI4CE 75 2 0 15 Oct 2023
Causality and Independence Enhancement for Biased Node Classification Guoxin Chen Yongqing Wang Fangda Guo Qinglang Guo Jiangli Shao Huawei Shen Xueqi Cheng CML AI4CE OOD 97 14 0 14 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification Mridul Gupta S. Manchanda H. Kodamana Sayan Ranu DD 89 16 0 14 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 142 10 0 13 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 71 45 0 13 Oct 2023
CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation Yunyong Ko Seongeun Ryu Sang-Wook Kim AI4TS 112 0 0 13 Oct 2023
Heterophily-Based Graph Neural Network for Imbalanced Classification Zirui Liang Yuntao Li Tianjin Huang A. Saxena Yulong Pei Mykola Pechenizkiy 100 0 0 12 Oct 2023
Infinite Width Graph Neural Networks for Node Regression/ Classification Yunus Cobanoglu AI4CE 95 1 0 12 Oct 2023
Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction Haiyang Liu Chunjiang Zhu Detian Zhang Qing Li AI4TS GNN 102 0 0 12 Oct 2023
Local Graph Clustering with Noisy Labels George Giapitzakis Kimon Fountoulakis Shenghao Yang 45 1 0 12 Oct 2023
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks Zohair Shafi Benjamin A. Miller Tina Eliassi-Rad R. Caceres 66 1 0 12 Oct 2023
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning A. Maharana Prateek Yadav Mohit Bansal 98 34 0 11 Oct 2023
GRaMuFeN: Graph-based Multi-modal Fake News Detection in Social Media Makan Kananian Fatima Badiei S. A. G. Ghahramani 39 4 0 11 Oct 2023
Global Minima, Recoverability Thresholds, and Higher-Order Structure in GNNS Drake Brown Trevor Garrity Kaden Parker Jason Oliphant Stone Carson Cole Hanson Zachary Boyd 56 0 0 11 Oct 2023
Differentiable Euler Characteristic Transforms for Shape Classification Ernst Röell Bastian Rieck 107 7 0 11 Oct 2023
Are GATs Out of Balance? Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 130 5 0 11 Oct 2023
Exponential Quantum Communication Advantage in Distributed Inference and Learning H. Michaeli D. Gilboa Daniel Soudry Jarrod R. McClean FedML 43 1 0 11 Oct 2023
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation Yixin Liu Chenrui Fan Xun Chen Pan Zhou Lichao Sun 109 4 0 11 Oct 2023
Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose Ilias Mitrai P. Daoutidis 63 4 0 10 Oct 2023
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation Anwar Said Mudassir Shabbir Hanyu Wang W. Abbas X. Koutsoukos 76 3 0 10 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 100 25 0 10 Oct 2023
A novel Network Science Algorithm for Improving Triage of Patients P. H. Guzzi A. D. Filippo Pierangelo Veltri 35 0 0 09 Oct 2023
Tailoring Self-Attention for Graph via Rooted Subtrees Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 81 8 0 08 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 104 21 0 08 Oct 2023
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data Yuntong Hu Zhengwu Zhang Liang Zhao GNN 91 24 0 07 Oct 2023
Label-free Node Classification on Graphs with Large Language Models (LLMS) Zhikai Chen Haitao Mao Hongzhi Wen Haoyu Han Wei Jin Haiyang Zhang Hui Liu Jiliang Tang 114 86 0 07 Oct 2023
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance Yu Wang Tong Zhao Yuying Zhao Yunchao Liu Xueqi Cheng Neil Shah Hanyu Wang 83 10 0 06 Oct 2023
Latent Graph Inference with Limited Supervision Jianglin Lu Yi Tian Xu Huan Wang Yue Bai Yun Fu 83 5 0 06 Oct 2023
Graph learning in robotics: a survey Francesca Pistilli Giuseppe Averta AI4CE GNN 67 8 0 06 Oct 2023
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection Heehyeon Kim Jinhyeok Choi Joyce Jiyoung Whang GNN 68 7 0 06 Oct 2023
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models Junchi Yu Ran He Rex Ying LRM 136 31 0 06 Oct 2023
A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis Eunsong Kang Da-Woon Heo Jiwon Lee Heung-II Suk 26 4 0 06 Oct 2023
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs T. Lucas Makinen Justin Alsing Benjamin Dan Wandelt GNN FedML 69 3 0 05 Oct 2023
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 66 6 0 05 Oct 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs Kha-Dinh Luong Ambuj Singh AI4CE 75 12 0 05 Oct 2023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian Daniel Daza Emile van Krieken Thiviyan Thanapalasingam Peter Bloem 77 6 0 05 Oct 2023
Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning Zihan Liu Ge Wang Jiaqi Wang Jiangbin Zheng Stan Z. Li AI4TS 42 2 0 04 Oct 2023