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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
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 65 0 0 26 Jan 2023
A Graph Neural Network with Negative Message Passing for Graph Coloring Xiangyu Wang Xueming Yan Yaochu Jin 65 8 0 26 Jan 2023
Federated Learning over Coupled Graphs Runze Lei Peijie Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 101 15 0 26 Jan 2023
WL meet VC Christopher Morris Floris Geerts Jan Tönshoff Martin Grohe 122 27 0 26 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 120 6 0 26 Jan 2023
Graph Neural Tangent Kernel: Convergence on Large Graphs Sanjukta Krishnagopal Luana Ruiz 89 11 0 25 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 61 0 0 25 Jan 2023
FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs Niels van der Heijden Ekaterina Shutova H. Yannakoudakis 99 0 0 25 Jan 2023
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Mingi Yoo Jaeyong Song Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 97 22 0 25 Jan 2023
Neighborhood Homophily-based Graph Convolutional Network Sheng Gong Jiajun Zhou Chenxuan Xie Qi Xuan GNN 115 10 0 24 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 79 5 0 24 Jan 2023
Spatial Attention Kinetic Networks with E(n)-Equivariance Yuanqing Wang J. Chodera 82 17 0 21 Jan 2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks Chong Zhang Zhenkun Zhou X. Peng Ke Xu 57 4 0 20 Jan 2023
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network Mingyi Liu Zhiying Tu Xiaofei Xu Zhongjie Wang AI4TS 58 2 0 20 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 120 190 0 19 Jan 2023
GIPA: A General Information Propagation Algorithm for Graph Learning Houyi Li Zhihong Chen Zhao Li Qinkai Zheng Peng Zhang Shuigeng Zhou 80 0 0 19 Jan 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng Zhang GNN 140 3 0 18 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 63 1 0 16 Jan 2023
Modeling the evolution of temporal knowledge graphs with uncertainty Soeren Nolting Zhen Han Volker Tresp 57 1 0 12 Jan 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 86 1 0 12 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 97 8 0 12 Jan 2023
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval Manh-Duy Nguyen Binh T. Nguyen C. Gurrin VLM 59 5 0 11 Jan 2023
Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks Yao Xiao Ji Xu Jing Yang Shaobo Li GNN 25 0 0 11 Jan 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework Shiping Wang Zhihao Wu Yuhong Chen Yongzhe Chen GNN BDL 82 14 0 11 Jan 2023
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context Liam Hebert Lukasz Golab R. Cohen 54 8 0 10 Jan 2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation Xiaohan Li Yuqing Liu Zheng Liu Philip S. Yu 86 9 0 10 Jan 2023
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks T. Monninger Julian Schmidt Jan Rupprecht D. Raba Julian Jordan Daniel Frank Steffen Staab Klaus C. J. Dietmayer GNN 70 29 0 09 Jan 2023
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network Guanghui Zhu Zhen-Wei Zhu Wen Wang Zhuoer Xu Chun Yuan Jiaming Ji 122 9 0 08 Jan 2023
Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings Yeskendir Koishekenov 58 2 0 07 Jan 2023
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 123 7 0 07 Jan 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching Fang Wu Siyuan Li Xurui Jin Yinghui Jiang Dragomir R. Radev Z. Niu Stan Z. Li 82 11 0 07 Jan 2023
GNN-based Passenger Request Prediction Aqsa Ashraf Makhdomi Iqra Altaf Gillani AI4TS 39 9 0 06 Jan 2023
ReVoLT: Relational Reasoning and Voronoi Local Graph Planning for Target-driven Navigation Junjia Liu Jianfei Guo Zehui Meng Jing-wen Xue 76 4 0 06 Jan 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis Kaizhong Zheng Shujian Yu Badong Chen CML 125 33 0 04 Jan 2023
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart 68 16 0 04 Jan 2023
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge Haodi Ma D. Wang 101 8 0 03 Jan 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks Yushun Dong Binchi Zhang Yiling Yuan Na Zou Qi Wang Jundong Li 165 13 0 03 Jan 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning Lu Jiang Yibin Wang Jianan Wang Pengyang Wang Minghao Yin 30 2 0 01 Jan 2023
Hospital transfer risk prediction for COVID-19 patients from a medicalized hotel based on Diffusion GraphSAGE J. Ding Chih-Ho Hsu Kuan-Chia Ling Ling-Hao Chen Fang-Ming Hung 72 0 0 31 Dec 2022
Generative Graph Neural Networks for Link Prediction Xingping Xian Tao Wu Xiaoke Ma Shaojie Qiao Yabin Shao Chao Wang Lin Yuan Yuehua Wu AI4CE 92 4 0 31 Dec 2022
A Survey on Protein Representation Learning: Retrospect and Prospect Lirong Wu Yu-Feng Huang H. Lin Stan Z. Li AI4TS 109 12 0 31 Dec 2022
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu 73 11 0 30 Dec 2022
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network Mehrtash Mehrabi Walid Masoudimansour Yingxue Zhang Jie Chuai Zhitang Chen Mark Coates Jianye Hao Yanhui Geng 76 1 0 29 Dec 2022
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection H. Sahbi Sebastien Deschamps 60 0 0 28 Dec 2022
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples Jianxiang Yu Qingqing Ge Xiang Li Aoying Zhou 70 10 0 28 Dec 2022
PersonaSAGE: A Multi-Persona Graph Neural Network G. Choudhary I. Burhanuddin Eunyee Koh F. Du Ryan Rossi 67 0 0 28 Dec 2022
EDoG: Adversarial Edge Detection For Graph Neural Networks Xiaojun Xu Yue Yu Hanzhang Wang Alok Lal C.A. Gunter Bo Li AAML 142 11 0 27 Dec 2022
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 122 98 0 27 Dec 2022
Homophily modulates double descent generalization in graph convolution networks Chengzhi Shi Liming Pan Hong Hu Ivan Dokmanić 115 9 0 26 Dec 2022
Investigation and rectification of NIDS datasets and standardized feature set derivation for network attack detection with graph neural networks A. Raskovalov N. Gabdullin Vasily Dolmatov 54 2 0 26 Dec 2022