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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
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs Genet Asefa Gesese Harald Sack Mehwish Alam 107 25 0 21 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 96 8 0 21 Nov 2022
A Benchmark of Video-Based Clothes-Changing Person Re-Identification Likai Wang Xiangqun Zhang Ruize Han Jialin Yang Xiaoyu Li Wei Feng Song Wang 70 5 0 21 Nov 2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 71 1 0 20 Nov 2022
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Hong Wang Jieyu Zhang Qi Zhu Wei Huang Kenji Kawaguchi X. Xiao 114 13 0 20 Nov 2022
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju Yujie Fan Chuxu Zhang Yanfang Ye AAML 120 38 0 19 Nov 2022
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features Siyang Song Yuxin Song Cheng Luo Zhiyuan Song Selim Kuzucu Xi Jia Zhijiang Guo Weicheng Xie Linlin Shen Hatice Gunes 75 25 0 19 Nov 2022
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test Chang-Shu Liu Yuwen Yang Yue Ding Hongtao Lu 76 1 0 19 Nov 2022
Tired of Over-smoothing? Stress Graph Drawing Is All You Need! Xue Li Yuanzhi Cheng 102 1 0 19 Nov 2022
Recommending Related Products Using Graph Neural Networks in Directed Graphs Srinivas Virinchi Anoop Saladi Abhirup Mondal 107 7 0 18 Nov 2022
Deep learning methods for drug response prediction in cancer: predominant and emerging trends A. Partin Thomas Brettin Yitan Zhu Oleksandr Narykov Austin R. Clyde Jamie Overbeek Department of Materials Science 79 60 0 18 Nov 2022
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning Yuntian He Saket Gurukar Srinivas Parthasarathy FaML 235 3 0 17 Nov 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems Inaam Ashraf L. Hermes André Artelt Barbara Hammer GNN 65 9 0 17 Nov 2022
Graph Neural Network-based Surrogate Models for Finite Element Analysis Meduri Venkata Shivaditya J. Alves Francesca Bugiotti Frédéric Magoulès AI4CE 55 6 0 17 Nov 2022
Few-shot Learning for Multi-modal Social Media Event Filtering José Nascimento J. P. Cardenuto J. Yang Anderson de Rezende Rocha 52 3 0 16 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 94 72 0 16 Nov 2022
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network Yongbin Li Bingbing Xu Qi Cao Yige Yuan Huawei Shen 40 0 0 16 Nov 2022
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels Jiho Choi Junghoon Park Woocheol Kim Jin-Hyeok Park Yumin Suh Minchang Sung 66 2 0 16 Nov 2022
Influencer Detection with Dynamic Graph Neural Networks Elena Tiukhova Emiliano Penaloza María Óskarsdóttir Hernán García Alejandro Correa-Bahnsen Bart Baesens M. Snoeck Cristián Bravo GNN 63 5 0 15 Nov 2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning Gaichao Li Jinsong Chen Kun He 48 3 0 15 Nov 2022
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets Yuzhou Chen Tian Jiang M. Heleno Alexandre Moreira Yulia R. Gel GNN AI4CE 63 4 0 14 Nov 2022
FedRule: Federated Rule Recommendation System with Graph Neural Networks Yuhang Yao Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen Carlee Joe-Wong Tianqiang Liu 48 17 0 13 Nov 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen Benlin Liu Jian Wu NoLa 116 37 0 12 Nov 2022
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling Jiayun Wu Tao Jia Yansong Wang Li Tao 59 2 0 12 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 102 21 0 12 Nov 2022
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling Md. Vasimuddin Ramanarayan Mohanty Sanchit Misra Sasikanth Avancha GNN 59 1 0 11 Nov 2022
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs Claudia Vanea Jonathan Campbell Omri Dodi L. Salumäe K. Meir ... H. Hochner T. Laisk L. Ernst C. Lindgren C. Nellåker 57 3 0 11 Nov 2022
Data-Driven Network Neuroscience: On Data Collection and Benchmark Jiaxing Xu Yunhan Yang David Tse Jung Huang S. S. Gururajapathy Yiping Ke Miao Qiao Alan Wang Haribalan Kumar Josh McGeown Yunhan Yang 89 9 0 11 Nov 2022
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks Khang Tran Phung Lai Nhathai Phan Issa M. Khalil Yao Ma Abdallah Khreishah My T. Thai Xintao Wu AAML 65 3 0 10 Nov 2022
Holder Recommendations using Graph Representation Learning & Link Prediction R. Saxena Abhijeet Kumar Mridul Mishra AI4TS AIFin 62 0 0 10 Nov 2022
Causal Modeling of Soil Processes for Improved Generalization Somya Sharma Swati Sharma A. Neal Sara Malvar Eduardo Rodrigues J. Crawford Emre Kıcıman Ranveer Chandra 55 1 0 10 Nov 2022
MGTCOM: Community Detection in Multimodal Graphs E. Dmitriev M. Chekol S. Wang 51 0 0 10 Nov 2022
GREENER: Graph Neural Networks for News Media Profiling P. Panayotov Utsav Shukla Husrev Taha Sencar Mohamed Nabeel Preslav Nakov 94 19 0 10 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Yurui Lai Xiaochun Ye Xiaochun Ye Shirui Pan Wenguang Chen Yuan Xie GNN 115 27 0 10 Nov 2022
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues Canyu Chen Haoran Wang Matthew A. Shapiro Yunyu Xiao Fei Wang Kai Shu 90 12 0 10 Nov 2022
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou Zhenyu Zhang Sheng-Wei Chen Tianlong Chen Xiao Huang Zhangyang Wang Helen Zhou GNN 76 3 0 09 Nov 2022
Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation Yu Miao Y. Xu Danilo Mandic 36 1 0 09 Nov 2022
Graph Neural Networks with Adaptive Readouts David Buterez J. Janet S. Kiddle Dino Oglic Pietro Lio GNN 57 51 0 09 Nov 2022
Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection Y. Lai Yulin Zhu Wenqi Fan Xiaoge Zhang Kai Zhou AAML 70 4 0 08 Nov 2022
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering Seoyoung Hong Minju Jo Seung-Uk Kook Jaeeun Jung Hyowon Wi Noseong Park Sung-Bae Cho AI4TS 63 6 0 08 Nov 2022
Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank Ariel R. Ramos Vela J. Lutzeyer A. Giovanidis Michalis Vazirgiannis GNN 23 0 0 08 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 98 60 0 08 Nov 2022
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network Chuxuan Hu Qinghai Zhou Hanghang Tong 84 0 0 08 Nov 2022
Graph Contrastive Learning with Implicit Augmentations Huidong Liang Xingjian Du Bilei Zhu Zejun Ma Ke Chen Junbin Gao 91 30 0 07 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 93 5 0 07 Nov 2022
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks Anders Aamand Justin Y. Chen Piotr Indyk Shyam Narayanan R. Rubinfeld Nicholas Schiefer Sandeep Silwal Tal Wagner 88 21 0 06 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 76 34 0 06 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization Yandi Li Haobo Gao Yunxuan Gao Jianxiong Guo Weili Wu 140 40 0 06 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass Xin Huang Jongryool Kim Brad Rees Chul-Ho Lee GNN 58 4 0 06 Nov 2022
Inductive Graph Transformer for Delivery Time Estimation Xin Zhou Jinglong Wang Yong Liu Xin Wu Zhiqi Shen Cyril Leung 53 16 0 05 Nov 2022