MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

5 February 2020

Irwin King

Papers citing "MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding"

50 / 242 papers shown

Title
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 35 3 0 22 May 2024
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction Zhihao Wen Yuan Fang Pengcheng Wei Fayao Liu Zhenghua Chen Min-man Wu AI4CE 30 2 0 07 May 2024
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network Ziang Zhou Jieming Shi Renchi Yang Yuanhang Zou Qing Li GNN 44 8 0 03 May 2024
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer Jinhui Yuan Shan Lu Peibo Duan Jieyue He 43 1 0 16 Apr 2024
Hyperbolic Heterogeneous Graph Attention Networks Jongmin Park Seunghoon Han Soohwan Jeong Sungsu Lim 41 3 0 15 Apr 2024
Generative-Contrastive Heterogeneous Graph Neural Network Yu-Chiang Frank Wang Lei Sang Yi Zhang Yiwen Zhang X. Wu 58 0 0 03 Apr 2024
GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation Yundong Sun Dongjie Zhu Yansong Wang Zhaoshuo Tian ViT SSL 38 13 0 22 Mar 2024
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction Asma Sattar Georgios Deligiorgis Marco Trincavelli Davide Bacciu OOD 27 0 0 17 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 36 0 0 13 Mar 2024
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects Pengfei Ding Yan Wang Guanfeng Liu 41 1 0 10 Mar 2024
Simple Multigraph Convolution Networks Danyang Wu Xinjie Shen Jitao Lu Jin Xu Feiping Nie 16 0 0 08 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 52 2 0 04 Mar 2024
HiGPT: Heterogeneous Graph Language Model Jiabin Tang Yuhao Yang Wei Wei Lei Shi Long Xia Dawei Yin Chao Huang 52 20 0 25 Feb 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks Yankai Chen Yixiang Fang Qiongyan Wang Xin Cao Irwin King 30 8 0 19 Feb 2024
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network Lin Chen Fengli Xu Nian Li Zhenyu Han Meng Wang Yong Li Pan Hui LRM 41 7 0 18 Feb 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Linfeng Cao Haoran Deng Yang Yang Chunping Wang Lei Chen 31 9 0 14 Feb 2024
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning Ziquan Wei Tingting Dan Guorong Wu 43 0 0 12 Feb 2024
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for $100\times$ Faster Inference Yifan Feng Yihe Luo Shihui Ying Yue Gao BDL 19 2 0 06 Feb 2024
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection Wei-Yao Wang Yu-Chieh Chang Wenjie Peng 22 0 0 27 Jan 2024
HGAttack: Transferable Heterogeneous Graph Adversarial Attack He Zhao Zhiwei Zeng Yongwei Wang Deheng Ye Chunyan Miao AAML 40 6 0 18 Jan 2024
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs Pengfei Ding Yan Wang Guanfeng Liu Nan Wang Xiaofang Zhou OODD OOD 31 2 0 07 Jan 2024
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation Ming-Yi Hong Yi-Hsiang Huang Shao-En Lin You-Chen Teng Chih-Yu Wang Che Lin 47 0 0 07 Jan 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs Zhongshu Zhu Bin Jing Xiaopei Wan Zhizhen Liu Lei Liang Jun Zhou 24 2 0 06 Jan 2024
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network Tong Li Jiale Deng Yanyan Shen Luyu Qiu Hu Yongxiang Caleb Chen Cao 25 5 0 23 Dec 2023
Professional Network Matters: Connections Empower Person-Job Fit Hao Chen Lun Du Yuxuan Lu Qiang Fu Xu Chen Shi Han Yanbin Kang Guangming Lu Zi Li 37 3 0 19 Dec 2023
Heterogeneous Graph Neural Architecture Search with GPT-4 Haoyuan Dong Yang Gao Haishuai Wang Hongxi Yang Peng Zhang 27 6 0 14 Dec 2023
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph Tianqianjin Lin Kaisong Song Zhuoren Jiang Yangyang Kang Weikang Yuan Xurui Li Changlong Sun Cui Huang Xiaozhong Liu 38 6 0 10 Dec 2023
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu Kaidi Cao Bruno Ribeiro James Zou J. Leskovec OOD 16 3 0 07 Dec 2023
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness Zeyuan Zhao Qingqing Ge Anfeng Cheng Yiding Liu Xiang Li Shuaiqiang Wang 11 0 0 06 Nov 2023
Efficient Heterogeneous Graph Learning via Random Projection Jun Hu Bryan Hooi Bingsheng He 46 9 0 23 Oct 2023
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks Yihong Ma Ning Yan Jiayu Li Masood S. Mortazavi Nitesh V. Chawla 32 18 0 23 Oct 2023
Heterogeneous Graph Neural Networks for End-to-End Traffic Assignment and Traffic Flow Learning Tong Liu Hadi Meidani 19 0 0 19 Oct 2023
Pretraining Language Models with Text-Attributed Heterogeneous Graphs Tao Zou Le Yu Yifei Huang Leilei Sun Bo Du AI4CE 17 17 0 19 Oct 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks Minjie Cheng Hongteng Xu 30 1 0 18 Oct 2023
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation Bo Yan Yang Cao Haoyu Wang Wenchuan Yang Junping Du Chuan Shi FedML 13 22 0 18 Oct 2023
Hetero $^2$ Net: Heterophily-aware Representation Learning on Heterogenerous Graphs Jintang Li Zheng Wei Jiawang Dan Jing Zhou Yuchang Zhu ... Zhang Zhen Changhua Meng Hong Jin Zibin Zheng Liang Chen 33 3 0 18 Oct 2023
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning Yulan Hu Zhirui Yang Ouyang Sheng Yong Liu 21 1 0 17 Oct 2023
Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks Renyang Liu Wei Zhou Jinhong Zhang Xiaoyuan Liu Peiyuan Si Haoran Li AAML 22 0 0 15 Oct 2023
EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang Zhen Zhang Zemin Liu Shengliang Lu B. Luo Bingsheng He 32 7 0 02 Oct 2023
Meta-Path Learning for Multi-relational Graph Neural Networks Francesco Ferrini Antonio Longa Takahiro Miki Manfred Jaeger 21 4 0 29 Sep 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation Yash Sinha Murari Mandal Mohan S. Kankanhalli MU 34 10 0 28 Sep 2023
Estimating Treatment Effects Under Heterogeneous Interference Xiaofeng Lin Guoxi Zhang Xiaotian Lu Han Bao Koh Takeuchi Hisashi Kashima CML 27 5 0 25 Sep 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang Jiayi Shen Athanasios Efthymiou S. Rudinac Monika Kackovic N. Wijnberg M. Worring 21 0 0 22 Sep 2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs Yide Qiu Shaoxiang Ling Tong Zhang Bo Huang Zhen Cui 41 0 0 11 Sep 2023
M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning Yuanyuan Guo Yu Xia Rui Wang Rongcheng Duan Luchang Li Jiangmeng Li 20 1 0 03 Sep 2023
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks Jiaxi Li Guansong Pang Ling-Hao Chen Mohammad-Reza Namazi-Rad 33 1 0 28 Aug 2023
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection Mahmoud Nazzal Issa M. Khalil Abdallah Khreishah Nhathai Phan Yao Ma AAML 28 1 0 22 Aug 2023
Bringing order into the realm of Transformer-based language models for artificial intelligence and law C. M. Greco Andrea Tagarelli AILaw 22 19 0 10 Aug 2023
Cross-heterogeneity Graph Few-shot Learning Pengfei Ding Yan Wang Guanfeng Liu 24 2 0 10 Aug 2023
Finding Money Launderers Using Heterogeneous Graph Neural Networks F. Johannessen Martin Jullum 31 4 0 25 Jul 2023