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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,533 papers shown

Title
On the Limitation and Experience Replay for GNNs in Continual Learning Junwei Su Difan Zou Chuan Wu CLL 133 4 0 07 Feb 2023
Learning to Count Isomorphisms with Graph Neural Networks Xingtong Yu Zemin Liu Yuan Fang Xinming Zhang GNN 98 15 0 07 Feb 2023
Heterophily-Aware Graph Attention Network Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 77 4 0 07 Feb 2023
An entity-guided text summarization framework with relational heterogeneous graph neural network Jingqiang Chen 75 6 0 07 Feb 2023
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields Jiaying Lu Yongchen Qian Shifan Zhao Yuanzhe Xi Carl Yang VLM 76 4 0 06 Feb 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology Francesco Di Giovanni Lorenzo Giusti Federico Barbero Giulia Luise Pietro Lio Michael M. Bronstein 161 121 0 06 Feb 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 100 16 0 06 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang Ming Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 125 17 0 06 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark Coates 98 9 0 06 Feb 2023
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging Chuanpan Zheng Xiaoliang Fan Cheng-i Wang Jianzhong Qi Chaochao Chen Longbiao Chen AI4TS 123 22 0 06 Feb 2023
An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg M. Bucci T. Faney J. Gratien Guillaume Charpiat Marc Schoenauer AI4CE 108 2 0 06 Feb 2023
Interaction Order Prediction for Temporal Graphs N. Bannur Mashrin Srivastava Harsha Vardhan 64 0 0 04 Feb 2023
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline Yongqian Li Xinyan Chen Wenxuan Guo Xijun Li Wanqian Luo Jun Huang Hui-Ling Zhen Mingxuan Yuan Junchi Yan 102 21 0 04 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 109 72 0 03 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 110 22 0 03 Feb 2023
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction Junwen Bai Yuanqi Du Yingheng Wang Shufeng Kong J. Gregoire Carla P. Gomes 51 8 0 03 Feb 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types Jianfei Gao Yangze Zhou Jincheng Zhou Bruno Ribeiro 113 13 0 02 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lio F. Scarselli Andrea Passerini AI4CE 104 63 0 02 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations Jinjiang Guo Jie Li 58 0 0 02 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 99 20 0 02 Feb 2023
Neural Common Neighbor with Completion for Link Prediction Xiyuan Wang Hao-Ting Yang Muhan Zhang GNN LRM 145 56 0 02 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 133 16 0 02 Feb 2023
Disentanglement of Latent Representations via Causal Interventions Gaël Gendron Michael Witbrock Gillian Dobbie OOD CML CoGe 150 2 0 02 Feb 2023
Unsupervised Entity Alignment for Temporal Knowledge Graphs Xiaoze Liu Junyang Wu Tianyi Li Lu Chen Yunjun Gao 86 44 0 01 Feb 2023
Simple yet Effective Gradient-Free Graph Convolutional Networks Yulin Zhu Xing Ai Qimai Li Xiao-Ming Wu Kai Zhou 131 0 0 01 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 102 13 0 01 Feb 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh Chawla 92 35 0 01 Feb 2023
$$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks$ $\rm A^2Q$ : Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu Fanrong Li Zitao Mo Qinghao Hu Gang Li Zejian Liu Xiaoyao Liang Jian Cheng GNN MQ 87 4 0 01 Feb 2023
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization Hengrui Zhang Shen Wang V. Ioannidis Soji Adeshina Jiani Zhang Xiao Qin Christos Faloutsos Da Zheng George Karypis Philip S. Yu 78 4 0 31 Jan 2023
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks Christopher W. F. Parsonson Zacharaya Shabka Alessandro Ottino G. Zervas 82 0 0 31 Jan 2023
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs Han-Sung Kim Jian Cui Eugene Jang Chanhee Lee Yongjae Lee Jin-Woo Chung Seung-Eui Shin GNN 68 8 0 31 Jan 2023
Holistic Graph-based Motion Prediction Daniel Grimm Philip Schorner M. Dressler J. -Marius Zöllner 87 13 0 31 Jan 2023
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks Wendong Bi Bingbing Xu Xiaoqian Sun Zidong Wang Huawei Shen Xueqi Cheng AI4TS 92 31 0 31 Jan 2023
Zero-One Laws of Graph Neural Networks Sam Adam-Day Theodor-Mihai Iliant .Ismail .Ilkan Ceylan GNN AI4CE 70 4 0 30 Jan 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks He Zhang Lizhen Qu Shirui Pan 126 12 0 30 Jan 2023
DepGraph: Towards Any Structural Pruning Gongfan Fang Xinyin Ma Mingli Song Michael Bi Mi Xinchao Wang GNN 180 276 0 30 Jan 2023
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks Antoine Louis Gijs van Dijck Gerasimos Spanakis AILaw 115 9 0 30 Jan 2023
Causality-based CTR Prediction using Graph Neural Networks Panyu Zhai Yanwu Yang Chun-Hui Zhang CML GNN 79 32 0 30 Jan 2023
Do We Really Need Graph Neural Networks for Traffic Forecasting? Xu Liu Yuxuan Liang Chao Huang Hengchang Hu Yushi Cao Bryan Hooi Roger Zimmermann AI4TS 117 22 0 30 Jan 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 103 8 0 29 Jan 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 93 3 0 29 Jan 2023
Node Injection for Class-specific Network Poisoning Ansh Sharma Rahul Kukreja Mayank Kharbanda Tanmoy Chakraborty AAML GNN 94 13 0 28 Jan 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 80 14 0 28 Jan 2023
Layout-aware Webpage Quality Assessment Anfeng Cheng Yiding Liu Weibin Li Qian Dong Shuaiqiang Wang Zhengjie Huang Shikun Feng Zhicong Cheng D. Yin 3DV 76 4 0 28 Jan 2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore Guoyang Xie Jingbao Wang Jiaqi Liu Feng Zheng Yaochu Jin 128 66 0 28 Jan 2023
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network Yang Sun Yifan Xie BDL CML 119 1 0 28 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 76 1 0 28 Jan 2023
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection Hazem Lashen Lilas Alrahis J. Knechtel Ozgur Sinanoglu 59 14 0 27 Jan 2023
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention Xiaolong Xu Lingjuan Lyu Yihong Dong Yicheng Lu Weiqiang Wang Hong Jin FedML 42 3 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 117 2 0 26 Jan 2023