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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
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU Genghan Zhang Yuetong Zhao Yanting Tao Zhongming Yu Guohao Dai Sitao Huang Yuanyuan Wen Pavlos Petoumenos Yu Wang 103 4 0 07 Sep 2022
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks Dawei Xu Haoran Yang Marian-Andrei Rizoiu Guandong Xu 27 0 0 06 Sep 2022
Large Graph Signal Denoising with Application to Differential Privacy Elie Chedemail Basile de Loynes F. Navarro Baptiste Olivier 128 2 0 05 Sep 2022
Spiking GATs: Learning Graph Attentions via Spiking Neural Network Beibei Wang Bo Jiang GNN 90 5 0 05 Sep 2022
Reinforced Continual Learning for Graphs Appan Rakaraddi Siew-Kei Lam Mahardhika Pratama Marcus Vinícius de Carvalho CLL 128 25 0 04 Sep 2022
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning Diyi Hu Chi Zhang Viktor Prasanna Krishnamachari 56 2 0 02 Sep 2022
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning Trung Thanh Nguyen Hoang D. Nguyen T. Nguyen H. Pham Ichiro Ide Phi Le Nguyen 42 3 0 02 Sep 2022
Group Property Inference Attacks Against Graph Neural Networks Xiuling Wang Wendy Hui Wang AAML 122 31 0 02 Sep 2022
Neighborhood-aware Scalable Temporal Network Representation Learning Yu Luo Pan Li GNN AI4TS 81 52 0 02 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 71 4 0 02 Sep 2022
Higher-order Clustering and Pooling for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros 98 41 0 02 Sep 2022
Representing Social Networks as Dynamic Heterogeneous Graphs Negar Maleki Balaji Padmanabhan K. Dutta 53 3 0 02 Sep 2022
An Explainer for Temporal Graph Neural Networks Wenchong He Minh Nhat Vu Zhe Jiang My T. Thai AI4TS 77 18 0 02 Sep 2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs Xin Liu Xunbin Xiong Yurui Lai Runzhen Xue Shirui Pan Xiaochun Ye Xiaochun Ye 102 1 0 02 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 577 1,428 0 02 Sep 2022
Structure-Preserving Graph Representation Learning Ruiyi Fang Liangjiang Wen Zhao Kang Jianzhuang Liu 110 23 0 02 Sep 2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax Hao-Ren Yao Nairen Cao Katina Russell D. Chang O. Frieder Jeremy T. Fineman SSL 87 1 0 01 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs Dongkwan Kim Jiho Jin Jaimeen Ahn Alice Oh 130 3 0 01 Sep 2022
Cadence Detection in Symbolic Classical Music using Graph Neural Networks E. Karystinaios Gerhard Widmer GNN 20 12 0 31 Aug 2022
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning Li Sun Junda Ye Hao Peng Philip S. Yu 79 26 0 30 Aug 2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs Taolin Zhang Chuan Chen Yaomin Chang Lin Shu Zibin Zheng FedML 77 16 0 29 Aug 2022
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning Pengfei Zhu Xinjie Yao Yu Wang Meng Cao Binyuan Hui Shuai Zhao Qinghua Hu 55 25 0 29 Aug 2022
Remote Work Optimization with Robust Multi-channel Graph Neural Networks Qinyi Zhu Liang Wu Qi Guo Liangjie Hong 59 0 0 26 Aug 2022
What Does the Gradient Tell When Attacking the Graph Structure Zihan Liu Ge Wang Yun Luo Stan Z. Li AAML 69 2 0 26 Aug 2022
Efficient ML Models for Practical Secure Inference Vinod Ganesan Anwesh Bhattacharya Pratyush Kumar Divya Gupta Rahul Sharma Nishanth Chandran MedIm 112 5 0 26 Aug 2022
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity Kaize Ding E. Nouri Guoqing Zheng Huan Liu Ryen W. White 96 10 0 26 Aug 2022
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 87 7 0 25 Aug 2022
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings Milovs Savić V. Kurbalija Milovs Radovanović 85 3 0 25 Aug 2022
Data Augmentation for Graph Data: Recent Advancements Maria Marrium Arif Mahmood 57 7 0 25 Aug 2022
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima Hengyu Liu Qiang Fu Lun Du Tiancheng Zhang Gensitskiy Yu. Shi Han Dongmei Zhang 157 3 0 25 Aug 2022
A Review of Knowledge Graph Completion Mohamad Zamini Hassan Reza M. Rabiei 70 64 0 24 Aug 2022
Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents Andrea Gemelli Emanuele Vivoli S. Marinai LMTD 130 11 0 23 Aug 2022
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks Andrea Gemelli Sanket Biswas Enrico Civitelli Josep Lladós S. Marinai 76 17 0 23 Aug 2022
FlexER: Flexible Entity Resolution for Multiple Intents Bar Genossar Roee Shraga Avigdor Gal Technion - Israel Institute of Technology 77 11 0 23 Aug 2022
Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation Jin-Duk Park Cong Tran Won-Yong Shin Xin Cao 41 11 0 23 Aug 2022
Object Detection in Aerial Images with Uncertainty-Aware Graph Network Jongha Kim Jinheon Baek Sung Ju Hwang 75 0 0 23 Aug 2022
Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding Kexuan Xin Zequn Sun Wen Hua Wei Hu Jianfeng Qu Xiaofang Zhou OCL 50 14 0 23 Aug 2022
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition Junghoon Lee Minhyeok Lee Dogyoon Lee Sangyoon Lee BDL 100 141 0 23 Aug 2022
A Graph Convolution for Signed Directed Graphs Taewook Ko Chong-Kwon Kim 95 4 0 23 Aug 2022
Equivariant Hypergraph Neural Networks Jinwoo Kim Saeyoon Oh Sungjun Cho Seunghoon Hong 65 12 0 22 Aug 2022
LTE4G: Long-Tail Experts for Graph Neural Networks Sukwon Yun Kibum Kim Kanghoon Yoon Chanyoung Park 107 42 0 22 Aug 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh Chawla 128 14 0 22 Aug 2022
Heterogeneous Graph Masked Autoencoders Yijun Tian Kaiwen Dong Chunhui Zhang Chuxu Zhang Nitesh Chawla 129 82 0 21 Aug 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 88 24 0 21 Aug 2022
Relational Self-Supervised Learning on Graphs Namkyeong Lee Dongmin Hyun Junseok Lee Chanyoung Park SSL 71 24 0 21 Aug 2022
Representation Learning with Graph Neural Networks for Speech Emotion Recognition Junghun Kim Jihie Kim SSL GNN 59 5 0 21 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 71 20 0 21 Aug 2022
Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition Yiwen Zhu Kaiyu Gan Zhong Yin 56 1 0 19 Aug 2022
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching Yeonhong Park Sunhong Min Jae W. Lee GNN 65 38 0 19 Aug 2022
Implicit Session Contexts for Next-Item Recommendations Sejoon Oh Ankur Bhardwaj Jongseok Han Sungchul Kim Ryan Rossi Srijan Kumar CML 77 9 0 18 Aug 2022