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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
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update Dan Wu Zhaoying Li Tulika Mitra GNN 60 3 0 20 Sep 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning Ziyue Qiao Xiao Luo Meng Xiao Hao Dong Yuanchun Zhou Hui Xiong OOD 141 29 0 19 Sep 2023
Unsupervised Learning via Network-Aware Embeddings Anne Sophie Riis Damstrup Sofie Tosti Madsen Michele Coscia SSL 117 0 0 19 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks Hao Liu Jiarui Feng Lecheng Kong Dacheng Tao Yixin Chen Muhan Zhang OffRL 70 5 0 19 Sep 2023
Asynchronous Perception-Action-Communication with Graph Neural Networks Saurav Agarwal Alejandro Ribeiro Vijay Kumar GNN 69 1 0 18 Sep 2023
GDM: Dual Mixup for Graph Classification with Limited Supervision Abdullah Alchihabi Yuhong Guo 40 0 0 18 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 112 42 0 18 Sep 2023
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature Lukas Fesser Melanie Weber 102 25 0 17 Sep 2023
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach Wentao Hu Hui Fang 81 5 0 17 Sep 2023
Performance of Graph Neural Networks for Point Cloud Applications Dhruv Parikh Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 3DPC 76 1 0 17 Sep 2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach Karuna Bhaila Wen Huang Yongkai Wu Xintao Wu 51 7 0 15 Sep 2023
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data Hechuan Wen Tong Chen Li Kheng Chai S. Sadiq Kai Zheng Hongzhi Yin CML 91 2 0 15 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 68 7 0 14 Sep 2023
Uncertainty-aware Traffic Prediction under Missing Data Hao Mei Junxian Li Zhiming Liang Guanjie Zheng Bin Shi Hua Wei EDL 107 6 0 13 Sep 2023
Bregman Graph Neural Network Jiayu Zhai Lequan Lin Dai Shi Junbin Gao 50 4 0 12 Sep 2023
Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction Oana Ignat Santiago Castro Weiji Li Rada Mihalcea 74 0 0 12 Sep 2023
Information Flow in Graph Neural Networks: A Clinical Triage Use Case Víctor Valls Mykhaylo Zayats Alessandra Pascale 55 1 0 12 Sep 2023
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection Yufei Li Yanchi Liu Haoyu Wang Zhengzhang Chen Wei Cheng Yuncong Chen Wenchao Yu Haifeng Chen Cong Liu 62 6 0 12 Sep 2023
Learning the Geodesic Embedding with Graph Neural Networks Bo Pang Zhongtian Zheng Guoping Wang Peng-Shuai Wang GNN 66 7 0 11 Sep 2023
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding Haohui Lu Mohammed Shahadat Uddin 91 7 0 11 Sep 2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs Yide Qiu Shaoxiang Ling Tong Zhang Bo Huang Zhen Cui 102 0 0 11 Sep 2023
RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution Yuan Meng Xuhao Pan Jun Chang Yue Wang 36 1 0 10 Sep 2023
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings Jiaxu Liu Xinping Yi Tianle Zhang Xiaowei Huang 49 0 0 09 Sep 2023
Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach Changan Liu Changjun Fan Zhongzhi Zhang GNN 28 4 0 09 Sep 2023
Graph Neural Networks Use Graphs When They Shouldn't Maya Bechler-Speicher Ido Amos Ran Gilad-Bachrach Amir Globerson GNN AI4CE 47 15 0 08 Sep 2023
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho Seunghyuk Cho Sungwoo Park Hankook Lee Ho Hin Lee Moontae Lee 113 7 0 08 Sep 2023
Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational Inference Thomas Gebhart John Cobb AI4CE 111 0 0 07 Sep 2023
Promoting Fairness in GNNs: A Characterization of Stability Yaning Jia Chunhui Zhang AAML 99 0 0 07 Sep 2023
ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search Enes Altinisik Fatih Deniz Husrev Taha Sencar 82 23 0 07 Sep 2023
Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction Jiankai Li Yunhong Wang Weixin Li 110 2 0 07 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation Xiaochen Zhu Vincent Y. F. Tan Xiaokui Xiao 116 12 0 06 Sep 2023
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach Dong Li Divya Bhargavi V. Ravipati 108 5 0 06 Sep 2023
ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese Chau-Thang Phan Quoc-Nam Nguyen Chi-Thanh Dang Trong-Hop Do Kiet Van Nguyen GNN 45 1 0 06 Sep 2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing Sichao Fu Qinmu Peng Yang He Baokun Du Xinge You 83 2 0 06 Sep 2023
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation Huan Zhang E. Karystinaios Simon Dixon Gerhard Widmer Carlos Eduardo Cancino-Chacón 437 15 0 05 Sep 2023
Generalized Simplicial Attention Neural Networks Claudio Battiloro Lucia Testa Lorenzo Giusti S. Sardellitti P. Lorenzo Sergio Barbarossa 89 22 0 05 Sep 2023
RDGSL: Dynamic Graph Representation Learning with Structure Learning Siwei Zhang Yun Xiong Yao Zhang Yiheng Sun Xiangshan Chen Yizhu Jiao Yangyong Zhu NoLa 87 11 0 05 Sep 2023
Layer-wise training for self-supervised learning on graphs Oscar Pina Verónica Vilaplana SSL GNN 68 1 0 04 Sep 2023
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs Zhihao Ding Jieming Shi Qing Li Jiannong Cao 58 1 0 04 Sep 2023
UniSA: Unified Generative Framework for Sentiment Analysis Zaijing Li Ting-En Lin Yuchuan Wu Meng Liu Fengxiao Tang Mingde Zhao Yongbin Li 105 18 0 04 Sep 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects Haomin Wen Youfang Lin Lixia Wu Xiaowei Mao Tianyu Cai ... Guangyin Jin Yiji Zhao Roger Zimmermann Jieping Ye Huaiyu Wan AI4TS 113 6 0 03 Sep 2023
M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning Yuanyuan Guo Yu Xia Rui Wang Rongcheng Duan Luchang Li Jiangmeng Li 58 1 0 03 Sep 2023
SEPAL: Spatial Gene Expression Prediction from Local Graphs Gabriel Mejía Paula Cárdenas Daniela Ruiz Angela Castillo Pablo Arbelaez 65 12 0 02 Sep 2023
Pure Message Passing Can Estimate Common Neighbor for Link Prediction Kaiwen Dong Zhichun Guo Nitesh Chawla 117 8 0 02 Sep 2023
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding Min-Jeong Kim Yeon-Chang Lee David Y. Kang Sang-Wook Kim 81 0 0 02 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 94 1 0 01 Sep 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs Zong-Yi Li Nikola B. Kovachki Chris Choy Boyi Li Jean Kossaifi ... M. A. Nabian Maximilian Stadler Christian Hundt Kamyar Azizzadenesheli Anima Anandkumar AI4CE 138 152 0 01 Sep 2023
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark Jan Tönshoff Martin Ritzert Eran Rosenbluth Martin Grohe 106 54 0 01 Sep 2023
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images Chinmay Prabhakar Hongwei Bran Li Johannes C. Paetzold T. Loehr Chen Niu Mark Muhlau Daniel Rueckert Benedikt Wiestler Bjoern Menze MedIm AI4CE 63 5 0 31 Aug 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 116 14 0 31 Aug 2023