Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,538 papers shown

Title
Node Injection for Class-specific Network Poisoning Ansh Sharma Rahul Kukreja Mayank Kharbanda Tanmoy Chakraborty AAML GNN 34 12 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 41 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 Dawei Yin 3DV 40 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 38 64 0 28 Jan 2023
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network Yang Sun Yifan Xie BDL CML 61 1 0 28 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 45 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 30 13 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 38 3 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 63 2 0 26 Jan 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 26 0 0 26 Jan 2023
A Graph Neural Network with Negative Message Passing for Graph Coloring Xiangyu Wang Xueming Yan Yaochu Jin 28 7 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 38 14 0 26 Jan 2023
WL meet VC Christopher Morris Floris Geerts Jan Tönshoff Martin Grohe 50 27 0 26 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 60 5 0 26 Jan 2023
Graph Neural Tangent Kernel: Convergence on Large Graphs Sanjukta Krishnagopal Luana Ruiz 50 10 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 31 0 0 25 Jan 2023
FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs Niels van der Heijden Ekaterina Shutova H. Yannakoudakis 48 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 46 18 0 25 Jan 2023
Neighborhood Homophily-based Graph Convolutional Network Sheng Gong Jiajun Zhou Chenxuan Xie Qi Xuan GNN 30 8 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 53 5 0 24 Jan 2023
Spatial Attention Kinetic Networks with E(n)-Equivariance Yuanqing Wang J. Chodera 43 15 0 21 Jan 2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks Chong Zhang Zhenkun Zhou X. Peng Ke Xu 32 3 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 26 2 0 20 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 30 179 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 49 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 59 2 0 18 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 41 1 0 16 Jan 2023
Modeling the evolution of temporal knowledge graphs with uncertainty Soeren Nolting Zhen Han Volker Tresp 32 1 0 12 Jan 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 47 1 0 12 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 51 7 0 12 Jan 2023
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval Manh-Duy Nguyen Binh T. Nguyen C. Gurrin VLM 33 4 0 11 Jan 2023
Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks Yao Xiao Ji Xu Jing Yang Shaobo Li GNN 16 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 33 13 0 11 Jan 2023
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context Liam Hebert Lukasz Golab R. Cohen 26 8 0 10 Jan 2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation Xiaohan Li Yuqing Liu Zheng Liu Philip S. Yu 52 8 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 22 28 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 21 8 0 08 Jan 2023
Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings Yeskendir Koishekenov 26 2 0 07 Jan 2023
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 39 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 29 10 0 07 Jan 2023
GNN-based Passenger Request Prediction Aqsa Ashraf Makhdomi Iqra Altaf Gillani AI4TS 27 8 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 33 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 57 32 0 04 Jan 2023
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart 37 14 0 04 Jan 2023
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge Haodi Ma D. Wang 53 6 0 03 Jan 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks Yushun Dong Binchi Zhang Yiling Yuan Na Zou Qi Wang Jundong Li 90 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 18 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 44 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 43 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 42 12 0 31 Dec 2022