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Interpretable and Efficient Heterogeneous Graph Convolutional Network

Interpretable and Efficient Heterogeneous Graph Convolutional Network

27 May 2020
Yaming Yang
Ziyu Guan
Jianxin Li
Wei Zhao
Jiangtao Cui
Quan Wang
    GNN
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Papers citing "Interpretable and Efficient Heterogeneous Graph Convolutional Network"

37 / 37 papers shown
Title
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Ruobing Jiang
Yacong Li
Haobing Liu
Yanwei Yu
54
0
0
18 Mar 2025
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
Q. Zhu
Liang Zhang
Qianxiong Xu
Cheng Long
148
1
0
22 Jan 2025
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for
  Efficient and Accurate Inference
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
Yunhui Liu
Xinyi Gao
Tieke He
Jianhua Zhao
Hongzhi Yin
71
1
0
21 Nov 2024
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time
  Series: Architecture and Application to ICU Patient Data
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data
Óscar Escudero-Arnanz
C. Soguero-Ruíz
Antonio G. Marques
AI4TS
29
0
0
01 Nov 2024
Enhancing Ethereum Fraud Detection via Generative and Contrastive
  Self-supervision
Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision
Chenxiang Jin
Jiajun Zhou
Chenxuan Xie
Shanqing Yu
Qi Xuan
Xiaoniu Yang
36
0
0
01 Aug 2024
Aligning Multiple Knowledge Graphs in a Single Pass
Aligning Multiple Knowledge Graphs in a Single Pass
Yaming Yang
Zhe Wang
Ziyu Guan
Wei Zhao
Christian Rupprecht
Xinyan Huang
Jiangtao Cui
Xiaofei He
45
1
0
01 Aug 2024
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous
  Graph Representation Learning
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
Qiuyu Zhu
Liang Zhang
Qianxiong Xu
Kaijun Liu
Cheng Long
Xiaoyang Wang
35
0
0
18 Jul 2024
LSPI: Heterogeneous Graph Neural Network Classification Aggregation
  Algorithm Based on Size Neighbor Path Identification
LSPI: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identification
Yufei Zhao
Shiduo Wang
Hua Duan
33
18
0
29 May 2024
HeteroMILE: a Multi-Level Graph Representation Learning Framework for
  Heterogeneous Graphs
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
Yue Zhang
Yuntian He
Saket Gurukar
Srinivasan Parthasarathy
30
0
0
31 Mar 2024
Few-Shot Causal Representation Learning for Out-of-Distribution
  Generalization on Heterogeneous Graphs
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
28
2
0
07 Jan 2024
Towards Fine-Grained Explainability for Heterogeneous Graph Neural
  Network
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
Tong Li
Jiale Deng
Yanyan Shen
Luyu Qiu
Hu Yongxiang
Caleb Chen Cao
23
5
0
23 Dec 2023
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with
  Relative Entropy
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
Tianhao Peng
Wenjun Wu
Haitao Yuan
Zhifeng Bao
Pengrui Zhao
Xin Yu
Xuetao Lin
Yu Liang
Yanjun Pu
37
10
0
15 Dec 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
26
6
0
18 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
19
2
0
04 May 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
30
10
0
27 Feb 2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
Yuanhai Lv
Lining Xing
Baosheng Yu
Dacheng Tao
48
4
0
19 Feb 2023
State of the Art and Potentialities of Graph-level Learning
State of the Art and Potentialities of Graph-level Learning
Zhenyu Yang
Ge Zhang
Jia Wu
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio'
GNN
AI4CE
35
10
0
14 Jan 2023
Towards Explainable Motion Prediction using Heterogeneous Graph
  Representations
Towards Explainable Motion Prediction using Heterogeneous Graph Representations
Sandra Carrasco Limeros
Sylwia Majchrowska
Joakim Johnander
Christoffer Petersson
David Fernández Llorca
29
15
0
07 Dec 2022
Graph Convolutional Neural Networks with Diverse Negative Samples via
  Decomposed Determinant Point Processes
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
Wei Duan
Junyu Xuan
Maoying Qiao
Jie Lu
17
8
0
05 Dec 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
Self-supervised Heterogeneous Graph Pre-training Based on Structural
  Clustering
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Yaming Yang
Ziyu Guan
Zhe Wang
Wei Zhao
Cai Xu
Weigang Lu
Jianbin Huang
SSL
18
39
0
19 Oct 2022
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous
  Graphs
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs
Linhao Luo
Yixiang Fang
Moli Lu
Xin Cao
Xiaofeng Zhang
Wenjie Zhang
33
7
0
12 Aug 2022
GCN-WP -- Semi-Supervised Graph Convolutional Networks for Win
  Prediction in Esports
GCN-WP -- Semi-Supervised Graph Convolutional Networks for Win Prediction in Esports
Alex Bisberg
Emilio Ferrara
GNN
12
3
0
26 Jul 2022
Anomal-E: A Self-Supervised Network Intrusion Detection System based on
  Graph Neural Networks
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks
Evan Caville
Wai Weng Lo
S. Layeghy
Marius Portmann
12
88
0
14 Jul 2022
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Pengfei Ding
Yan Wang
Guanfeng Liu
Xiaofang Zhou
19
5
0
11 Jul 2022
G$^3$SR: Global Graph Guided Session-based Recommendation
G3^33SR: Global Graph Guided Session-based Recommendation
Zhiwei Deng
Changdong Wang
Ling Huang
Jianhuang Lai
Philip S. Yu
13
13
0
12 Mar 2022
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge
  Transfer Networks
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
Minji Yoon
John Palowitch
Dustin Zelle
Ziniu Hu
Ruslan Salakhutdinov
Bryan Perozzi
28
13
0
03 Mar 2022
Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy
  Prediction Using Graph Neural Networks
Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks
Yu Zhao
Shaopeng Wei
Yu-Meng Guo
Qing Yang
Xingyan Chen
Qing Li
Fuzhen Zhuang
Ji Liu
Gang Kou
19
21
0
01 Feb 2022
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual
  Hierarchical Attention Networks
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks
Yu Zhao
Shaopeng Wei
Huaming Du
Xingyan Chen
Qing Li
Fuzhen Zhuang
J. Liu
Gang Kou
28
10
0
24 Dec 2021
SkipNode: On Alleviating Performance Degradation for Deep Graph
  Convolutional Networks
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks
Weigang Lu
Yibing Zhan
Binbin Lin
Ziyu Guan
Liu Liu
Baosheng Yu
Wei Zhao
Yaming Yang
Dacheng Tao
GNN
13
13
0
22 Dec 2021
A Meta-Learning Approach for Training Explainable Graph Neural Networks
A Meta-Learning Approach for Training Explainable Graph Neural Networks
Indro Spinelli
Simone Scardapane
A. Uncini
32
19
0
20 Sep 2021
Heterogeneous Graph Neural Network with Multi-view Representation
  Learning
Heterogeneous Graph Neural Network with Multi-view Representation Learning
Zezhi Shao
Yongjun Xu
Wei Wei
Fei Wang
Zhao Zhang
Feida Zhu
17
20
0
31 Aug 2021
A Unified Framework for Cross-Domain and Cross-System Recommendations
A Unified Framework for Cross-Domain and Cross-System Recommendations
Feng Zhu
Yan Wang
Jun Zhou
Chaochao Chen
Longfei Li
Guanfeng Liu
23
65
0
18 Aug 2021
SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural
  Network
SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural Network
Jinpeng Chen
Haiyang Li
Xudong Zhang
Fan Zhang
Senzhang Wang
Kaimin Wei
Jiaqi Ji
15
6
0
12 Aug 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
153
459
0
01 May 2021
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised
  Classification
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Rui Yang
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
22
20
0
07 Dec 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,169
0
03 Mar 2020
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