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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,528 papers shown

Title
Tensorized Hypergraph Neural Networks Maolin Wang Yao Zhen Yu Pan Yao Zhao Chenyi Zhuang Zenglin Xu Ruocheng Guo Xiangyu Zhao 65 2 0 05 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 109 8 0 05 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 192 3 0 04 Jun 2023
Oversmoothing: A Nightmare for Graph Contrastive Learning? Jintang Li Wangbin Sun Ruofan Wu Yuchang Zhu Liang Chen Zibin Zheng 90 2 0 03 Jun 2023
GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network Srikrishna Iyer Teck-Hou Teng AI4TS 56 1 0 03 Jun 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 66 28 0 02 Jun 2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction Amit Roy Juan Shu Jia Li Carl Yang Olivier Elshocht Jeroen Smeets P. Li 177 55 0 02 Jun 2023
Accelerating science with human-aware artificial intelligence J. Sourati James A. Evans 61 47 0 02 Jun 2023
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training Borui Wan Juntao Zhao Chuan Wu GNN 56 15 0 02 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao Zhikai Chen Wei Jin Haoyu Han Yao Ma Tong Zhao Neil Shah Jiliang Tang 118 36 0 02 Jun 2023
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment Atharva Kulkarni Sarah Masud Vikram Goyal Tanmoy Chakraborty 78 10 0 01 Jun 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices Jing Zhu Yuhang Zhou V. Ioannidis Sheng Qian Wei Ai Xiang Song Danai Koutra 101 11 0 01 Jun 2023
Coneheads: Hierarchy Aware Attention Albert Tseng Tao Yu Toni J.B. Liu Chris De Sa 3DPC 109 6 0 01 Jun 2023
Improving Energy Conserving Descent for Machine Learning: Theory and Practice G. Luca Alice Gatti E. Silverstein 71 1 0 01 Jun 2023
InGram: Inductive Knowledge Graph Embedding via Relation Graphs Jaejun Lee Chanyoung Chung Joyce Jiyoung Whang GNN 83 48 0 31 May 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization Kaixuan Chen Shunyu Liu Tongtian Zhu Tongya Zheng Haofei Zhang Zunlei Feng Jingwen Ye Mingli Song 135 16 0 31 May 2023
There is more to graphs than meets the eye: Learning universal features with self-supervision L. Das Sai Munikoti M. Halappanavar SSL OOD 78 1 0 31 May 2023
Learning Representations without Compositional Assumptions Tennison Liu Jeroen Berrevoets Zhaozhi Qian M. Schaar OCL SSL 72 1 0 31 May 2023
Improving Expressivity of Graph Neural Networks using Localization Anant Kumar Shrutimoy Das Shubhajit Roy Binita Maity Anirban Dasgupta 69 0 0 31 May 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 89 33 0 31 May 2023
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning Xiaoxin He Xavier Bresson T. Laurent Adam Perold Yann LeCun Bryan Hooi 142 86 0 31 May 2023
Graph Entropy Minimization for Semi-supervised Node Classification Yi Luo Guangchun Luo Ke Qin Aiguo Chen 68 0 0 31 May 2023
Budget-Aware Graph Convolutional Network Design using Probabilistic Magnitude Pruning H. Sahbi 60 0 0 30 May 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks Jintang Li Huizhe Zhang Ruofan Wu Zulun Zhu Baokun Wang Changhua Meng Zibin Zheng Liang Chen SSL 68 9 0 30 May 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Wee Peng Tay 70 13 0 30 May 2023
Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator Guangzhi Sun Chuxu Zhang P. Woodland 47 6 0 30 May 2023
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting Dan Yang Binbin Hu Xiaoyan Yang Yue Shen Qing Cui Jinjie Gu Guannan Zhang 77 4 0 30 May 2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning Jin Yuan Yang Zhang Yangzhou Du Zhongchao Shi Xin Geng Jianping Fan Yong Rui 83 0 0 30 May 2023
Graph Neural Network for spatiotemporal data: methods and applications Yun Li Dazhou Yu Zhenke Liu Minxing Zhang Xi Gong Liang Zhao AI4TS AI4CE 73 14 0 30 May 2023
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender Shuai Yang Lixin Zhang Feng Xia Leyu Lin 38 1 0 29 May 2023
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification Bin Wang Hongyi Pan Armstrong Aboah Zheyu Zhang Elif Keles Drew Torigian Baris Turkbey Elizabeth A. Krupinski Jayaram K. Udupa Ulas Bagci 115 25 0 29 May 2023
HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text Ruiyang Li Fujun Yang Xianjie Liu Hon-Yi Shi 75 0 0 29 May 2023
Learning Strong Graph Neural Networks with Weak Information Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 81 46 0 29 May 2023
Dink-Net: Neural Clustering on Large Graphs Yue Liu K. Liang Jun Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 158 55 0 28 May 2023
Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 101 0 0 28 May 2023
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction Hao Geng Deqing Wang Fuzhen Zhuang Xuehua Ming Chenguang Du Ting Jiang Haolong Guo Rui Liu 114 11 0 27 May 2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs Yangjie Zhou Yaoxu Song Jingwen Leng Zihan Liu Weihao Cui Zhendong Zhang Cong Guo Quan Chen Li-Wei Li Minyi Guo GNN 77 2 0 27 May 2023
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer Kaize Ding Albert Jiongqian Liang Bryan Perrozi Ting-Li Chen Ruoxi Wang Lichan Hong Ed H. Chi Huan Liu D. Cheng 65 14 0 27 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 91 7 0 26 May 2023
Graph Neural Convection-Diffusion with Heterophily Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay 117 31 0 26 May 2023
A graphon-signal analysis of graph neural networks Ron Levie 96 19 0 25 May 2023
TabGSL: Graph Structure Learning for Tabular Data Prediction Jay Chiehen Liao Cheng Li LMTD 56 5 0 25 May 2023
Towards Label Position Bias in Graph Neural Networks Haoyu Han Xiaorui Liu Feng Shi MohamadAli Torkamani Charu C. Aggarwal Jiliang Tang 97 4 0 25 May 2023
Union Subgraph Neural Networks Jiaxing Xu Aihu Zhang Qingtian Bian Vijay Prakash Dwivedi Yiping Ke GNN 90 7 0 25 May 2023
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting Lei Shu Liangchen Luo Jayakumar Hoskere Yun Zhu Canoee Liu Simon Tong Jindong Chen Lei Meng KELM LRM 95 51 0 25 May 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 100 1 0 25 May 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 138 6 0 25 May 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks A. Gruber Kookjin Lee N. Trask AI4CE 89 10 0 24 May 2023
Size Generalization of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective Gao Li Danai Koutra Yujun Yan 31 1 0 24 May 2023
Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation Jie Bu Kazi Sajeed Mehrab Anuj Karpatne 89 3 0 24 May 2023