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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,538 papers shown

Title
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim GNN 89 121 0 09 Jun 2022
Simplifying Polylogarithms with Machine Learning Aurélien Dersy M. Schwartz Xiao-Yan Zhang AI4CE 218 16 0 08 Jun 2022
Neural Bandit with Arm Group Graph Yunzhe Qi Yikun Ban Jingrui He 85 10 0 08 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 146 8 0 08 Jun 2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs Teng Xiao Zhengyu Chen Zhimeng Guo Zeyang Zhuang Suhang Wang BDL SSL 97 18 0 07 Jun 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Hanyu Wang 84 87 0 07 Jun 2022
An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning Tiehua Zhang Yuze Liu Zhishu Shen Ruiqian Xu Xin Chen Xiaowei Huang Xi Zheng FedML AI4TS 102 12 0 07 Jun 2022
DeepTPI: Test Point Insertion with Deep Reinforcement Learning Zhengyuan Shi Min Li Sadaf Khan Liuzheng Wang Naixing Wang Yu Huang Qiang Xu 103 16 0 07 Jun 2022
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence H. Nguyen Michael Clement Boris Mansencal Pierrick Coupé MedIm 72 9 0 07 Jun 2022
Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs Vítor Lourencco A. Paes AI4TS 61 7 0 07 Jun 2022
Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting Weikang Chen Yawen Li Zhe Xue Ang Li Guobin Wu GNN AI4TS 50 5 0 07 Jun 2022
Learning Backward Compatible Embeddings Weihua Hu Rajas Bansal Kaidi Cao Nikhil S. Rao Karthik Subbian J. Leskovec 41 17 0 07 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 117 44 0 07 Jun 2022
Schema-Guided Event Graph Completion Hongwei Wang Zixuan Zhang Sha Li Jiawei Han Yizhou Sun Hanghang Tong Joseph P. Olive Heng Ji 49 5 0 06 Jun 2022
Inverse Boundary Value and Optimal Control Problems on Graphs: A Neural and Numerical Synthesis Mehdi Garrousian Amirhossein Nouranizadeh 58 0 0 06 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 112 85 0 06 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures Kaustubh D. Dhole Carl Yang 69 1 0 06 Jun 2022
A Simple yet Effective Method for Graph Classification Junran Wu Shangzhe Li Jianhao Li Yicheng Pan Keyulu Xu 142 26 0 06 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification Xihong Yang Yue Liu Sihang Zhou Xinwang Liu En Zhu Sihang Zhou Xinwang Liu En Zhu SSL 127 29 0 06 Jun 2022
HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing A. Thieshanthan Amashi Niwarthana Pamuditha Somarathne Tharindu Wickremasinghe Ranga Rodrigo 3DPC 97 1 0 05 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 69 1 0 04 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 81 99 0 03 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 65 23 0 03 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 124 49 0 02 Jun 2022
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction Han Li Dan Zhao Jianyang Zeng 82 64 0 02 Jun 2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning Haoxing Chen Guang Yang Junge Zhang Qiyue Yin Kaiqi Huang 69 2 0 02 Jun 2022
Learning to Solve PDE-constrained Inverse Problems with Graph Networks Qingqing Zhao David B. Lindell Gordon Wetzstein AI4CE 116 42 0 01 Jun 2022
Graph Neural Networks with Precomputed Node Features Béni Egressy Roger Wattenhofer 68 2 0 01 Jun 2022
Graph Machine Learning for Design of High-Octane Fuels Jan G. Rittig Martin Ritzert Artur M. Schweidtmann Stefanie Winkler Jana M. Weber P. Morsch K. Heufer Martin Grohe Alexander Mitsos Manuel Dahmen 86 24 0 01 Jun 2022
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks Yifan Chen Tianning Xu Dilek Z. Hakkani-Tür Di Jin Yun Yang Ruoqing Zhu 119 4 0 01 Jun 2022
Good Intentions: Adaptive Parameter Management via Intent Signaling Alexander Renz-Wieland Andreas Kieslinger R. Gericke Rainer Gemulla Zoi Kaoudi Volker Markl 87 1 0 01 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes Kai Han Yunhe Wang Jianyuan Guo Yehui Tang Enhua Wu GNN 3DH 119 377 0 01 Jun 2022
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification Kunze Wang S. Han Josiah Poon GNN 79 39 0 01 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization Zheng Chai Guangji Bai Liang Zhao Yue Cheng GNN 94 3 0 31 May 2022
Continuous Temporal Graph Networks for Event-Based Graph Data Jin Guo Zhen Han Zhou Su Jiliang Li Volker Tresp Yuyi Wang AI4CE 97 5 0 31 May 2022
FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy Qiying Pan Yifei Zhu FedML 69 18 0 31 May 2022
Strategic Classification with Graph Neural Networks Itay Eilat Ben Finkelshtein Chaim Baskin Nir Rosenfeld 113 13 0 31 May 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang linda Qiao 125 12 0 31 May 2022
Template based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 83 20 0 31 May 2022
Automatic Relation-aware Graph Network Proliferation Shaofei Cai Liang Li Xinzhe Han Jiebo Luo Zhengjun Zha Qingming Huang GNN 73 8 0 31 May 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Le Yu Leilei Sun Bowen Du T. Zhu Weifeng Lv 88 16 0 31 May 2022
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 136 226 0 31 May 2022
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation Rolandos Alexandros Potamias Alexandros Neofytou Kyriaki-Margarita Bintsi Stefanos Zafeiriou 78 13 0 30 May 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing Jie Chen Weiqi Liu Zhizhong Huang Junbin Gao Junping Zhang Jian Pu 70 3 0 30 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 162 39 0 30 May 2022
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning Yongqi Zhang Zhanke Zhou Quanming Yao Xiaowen Chu Bo Han 62 49 0 30 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 64 3 0 30 May 2022
Spectral Maps for Learning on Subgraphs Marco Pegoraro R. Marin Arianna Rampini Simone Melzi Luca Cosmo Emanuele Rodolà 101 2 0 30 May 2022
Enhancing Sequential Recommendation with Graph Contrastive Learning Yixin Zhang Yong Liu Yonghui Xu Hao Xiong Chenyi Lei Weiliang He Li-zhen Cui Chunyan Miao 108 60 0 30 May 2022
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization Sai Munikoti Balasubramaniam Natarajan M. Halappanavar 57 4 0 30 May 2022