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MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph
  Embedding

MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

5 February 2020
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
ArXivPDFHTML

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

50 / 242 papers shown
Title
Collaborative Graph Neural Networks for Attributed Network Embedding
Collaborative Graph Neural Networks for Attributed Network Embedding
Qiaoyu Tan
Xin Zhang
Xiao Shi Huang
Haojun Chen
Jundong Li
Xia Hu
41
11
0
22 Jul 2023
Towards Reliable Rare Category Analysis on Graphs via Individual
  Calibration
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration
Longfeng Wu
Bowen Lei
Dongkuan Xu
Dawei Zhou
UQCV
CML
42
9
0
19 Jul 2023
Long-range Meta-path Search on Large-scale Heterogeneous Graphs
Long-range Meta-path Search on Large-scale Heterogeneous Graphs
Chao Li
Zijie Guo
Qiuting He
Hao Xu
Kun He
29
2
0
17 Jul 2023
Inductive Meta-path Learning for Schema-complex Heterogeneous
  Information Networks
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks
Shixuan Liu
Changjun Fan
Kewei Cheng
Yunfei Wang
Peng Cui
Yizhou Sun
Zhong Liu
40
3
0
08 Jul 2023
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks
Guanghui Zhu
Zhen-Wei Zhu
Hongyang Chen
Chun Yuan
Jiaming Ji
41
3
0
04 Jul 2023
Advancing Biomedicine with Graph Representation Learning: Recent
  Progress, Challenges, and Future Directions
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
Fang Li
Yi Nian
Zenan Sun
Cui Tao
LM&MA
OOD
AI4TS
AI4CE
31
5
0
18 Jun 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative
  Polynomials
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Mingguo He
Zhewei Wei
Shi Feng
Zhengjie Huang
Weibin Li
Yu Sun
Dianhai Yu
29
6
0
31 May 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks
Unifying gradient regularization for Heterogeneous Graph Neural Networks
Xiao Yang
Xuejiao Zhao
Zhiqi Shen
27
0
0
25 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
48
23
0
23 May 2023
Instant Representation Learning for Recommendation over Large Dynamic
  Graphs
Instant Representation Learning for Recommendation over Large Dynamic Graphs
Cheng Wu
Chao-Hong Wang
Jingcao Xu
Ziwei Fang
Tiankai Gu
Changping Wang
Yang Song
Kai Zheng
Xiaowei Wang
Guorui Zhou
AI4TS
32
6
0
22 May 2023
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Chenguang Du
Kaichun Yao
Hengshu Zhu
Deqing Wang
Fuzhen Zhuang
Hui Xiong
33
6
0
18 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
Xinyu Fu
Irwin King
FedML
41
4
0
16 May 2023
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation
  Learning
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning
E. Lee
Joyce C. Ho
29
2
0
04 May 2023
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural
  Network
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
Nian Liu
Tianlin Li
Hui-jun Han
Chuan Shi
SSL
22
5
0
24 Apr 2023
Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous
  Information Networks
Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks
Chao Li
Hao Xu
Kun He
28
3
0
23 Apr 2023
$\text{H}^2\text{TNE}$: Temporal Heterogeneous Information Network
  Embedding in Hyperbolic Spaces
H2TNE\text{H}^2\text{TNE}H2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces
Qijie Bai
Jiawen Guo
Haiwei Zhang
Chang Nie
Lin Zhang
Xiaojie Yuan
32
3
0
14 Apr 2023
GRAF: Graph Attention-aware Fusion Networks
GRAF: Graph Attention-aware Fusion Networks
Ziynet Nesibe Kesimoglu
S. Bozdag
GNN
25
4
0
29 Mar 2023
Heterogeneous Graph Learning for Acoustic Event Classification
Heterogeneous Graph Learning for Acoustic Event Classification
A. Shirian
Mona Ahmadian
Krishna Somandepalli
T. Guha
25
2
0
05 Mar 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information
  Networks
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Xin Gao
Wentao Zhang
Tong Chen
Junliang Yu
Hung Quoc Viet Nguyen
Hongzhi Yin
38
10
0
27 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks
  with Graph Transformer
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
Qiheng Mao
Zemin Liu
Chenghao Liu
Jianling Sun
42
56
0
22 Feb 2023
Link Prediction on Latent Heterogeneous Graphs
Link Prediction on Latent Heterogeneous Graphs
Trung-Kien Nguyen
Zemin Liu
Yuan Fang
23
8
0
21 Feb 2023
Heterogeneous Social Event Detection via Hyperbolic Graph
  Representations
Heterogeneous Social Event Detection via Hyperbolic Graph Representations
Zitai Qiu
Jia Wu
Jian Yang
Xing Su
Charu C. Aggarwal
35
3
0
20 Feb 2023
Homophily-oriented Heterogeneous Graph Rewiring
Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo
Lun Du
Wendong Bi
Qiang Fu
Xiaojun Ma
Xu Chen
Shi Han
Dongmei Zhang
Yan Zhang
27
26
0
13 Feb 2023
SplitGNN: Splitting GNN for Node Classification with Heterogeneous
  Attention
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention
Xiaolong Xu
Lingjuan Lyu
Yihong Dong
Yicheng Lu
Weiqiang Wang
Hong Jin
FedML
25
2
0
27 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey
A Network Science perspective of Graph Convolutional Networks: A survey
Mingshan Jia
Bogdan Gabrys
Katarzyna Musial
GNN
32
7
0
12 Jan 2023
A Meta Path-based Approach for Rumor Detection on Social Media
A Meta Path-based Approach for Rumor Detection on Social Media
Bita Azarijoo
Mostafa Salehi
S. Najari
19
1
0
11 Jan 2023
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph
  Neural Network
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network
Guanghui Zhu
Zhen-Wei Zhu
Wen Wang
Zhuoer Xu
Chun Yuan
Jiaming Ji
19
8
0
08 Jan 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and
  Adaptively Weighted Negative Samples
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
Jianxiang Yu
Qingqing Ge
Xiang Li
Aoying Zhou
30
7
0
28 Dec 2022
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature
  Learning
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning
Menglin Yang
Min Zhou
Lujia Pan
Irwin King
29
18
0
04 Dec 2022
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data
  Augmentation
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation
Yingxi Chen
Siwei Qiang
Mingming Ha
Xiaolei Liu
Shaoshuai Li
Lingfeng Yuan
Xiaobo Guo
Zheng Hua Zhu
19
2
0
30 Nov 2022
Differentiable Meta Multigraph Search with Partial Message Propagation
  on Heterogeneous Information Networks
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
Chao Li
Hao Xu
Kun He
25
10
0
27 Nov 2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural
  Networks
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
Xinyu Fu
Irwin King
27
15
0
23 Nov 2022
RHCO: A Relation-aware Heterogeneous Graph Neural Network with
  Contrastive Learning for Large-scale Graphs
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs
Zimin Wan
Deqing Wang
Xuehua Ming
Fuzhen Zhuang
Chenguang Du
Ting Jiang
Zhengyang Zhao
23
0
0
20 Nov 2022
Total Variation Graph Neural Networks
Total Variation Graph Neural Networks
Jonas Hansen
F. Bianchi
33
12
0
11 Nov 2022
Unsupervised Extractive Summarization with Heterogeneous Graph
  Embeddings for Chinese Document
Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document
Chen Lin
Ye Liu
Siyu An
Di Yin
16
1
0
09 Nov 2022
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based
  Graph Neural Network
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network
Chuxuan Hu
Qinghai Zhou
Hanghang Tong
22
0
0
08 Nov 2022
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly
  Detection
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection
Jun Zhan
Chengkun Wu
Canqun Yang
Qiucheng Miao
Xiandong Ma
AI4TS
16
2
0
01 Nov 2022
Distributed Graph Neural Network Training: A Survey
Distributed Graph Neural Network Training: A Survey
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Bin Cui
Lei Chen
GNN
AI4CE
11
56
0
01 Nov 2022
Learning with Multigraph Convolutional Filters
Learning with Multigraph Convolutional Filters
Landon Butler
Alejandro Parada-Mayorga
Alejandro Ribeiro
40
6
0
28 Oct 2022
Meta-node: A Concise Approach to Effectively Learn Complex Relationships
  in Heterogeneous Graphs
Meta-node: A Concise Approach to Effectively Learn Complex Relationships in Heterogeneous Graphs
Jiwoong Park
Jisu Jeong
Kyungmin Kim
Jin Young Choi
24
1
0
26 Oct 2022
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous
  Information Networks
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
Zequn Liu
Kefei Duan
Junwei Yang
Hanwen Xu
Ming Zhang
Sheng Wang
MoE
30
0
0
14 Oct 2022
SHINE: SubHypergraph Inductive Neural nEtwork
SHINE: SubHypergraph Inductive Neural nEtwork
Yuan Luo
32
13
0
13 Oct 2022
Association Graph Learning for Multi-Task Classification with Category
  Shifts
Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
M. Worring
OOD
36
4
0
10 Oct 2022
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Yuecen Wei
Xingcheng Fu
Qingyun Sun
Hao Peng
Jia Wu
Jinyan Wang
Xianxian Li
26
13
0
02 Oct 2022
Heterogeneous Graph Contrastive Multi-view Learning
Heterogeneous Graph Contrastive Multi-view Learning
Zehong Wang
Qi Li
Donghua Yu
Xiaolong Han
Xiaohong Gao
Shigen Shen
44
28
0
01 Oct 2022
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations
Hao Chen
Zefan Wang
Yue Xu
Xiao Huang
Feiran Huang
27
1
0
25 Sep 2022
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation
  Embedding
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
32
8
0
23 Sep 2022
Convolutional Learning on Multigraphs
Convolutional Learning on Multigraphs
Landon Butler
Alejandro Parada-Mayorga
Alejandro Ribeiro
SSL
GNN
45
12
0
23 Sep 2022
Neural Graph Databases
Neural Graph Databases
Maciej Besta
Patrick Iff
Florian Scheidl
Kazuki Osawa
Nikoli Dryden
Michal Podstawski
Tiancheng Chen
Torsten Hoefler
AI4CE
47
9
0
20 Sep 2022
Self-supervised Learning for Heterogeneous Graph via Structure
  Information based on Metapath
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath
Shuai Ma
Jian-wei Liu
Xin Zuo
SSL
37
5
0
09 Sep 2022
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