Encoding feature set information in heterogeneous graph neural networks for game provenance

被引:0
|
作者
Sidney Melo
Luís Fernando Bicalho
Leonardo Camacho de Oliveira Joia
José Ricardo da Silva Junior
Esteban Clua
Aline Paes
机构
[1] Federal Fluminense University,Institute of Computing
[2] Pontifical Catholic University of Rio de Janeiro,Department of Informatics
[3] Federal Institute of Rio de Janeiro,Computing Department
来源
Applied Intelligence | 2023年 / 53卷
关键词
Game analytics; Game provenance graphs; Graph neural networks; Heterogeneous graphs;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:29024 / 29042
页数:18
相关论文
共 50 条
  • [1] Encoding feature set information in heterogeneous graph neural networks for game provenance
    Melo, Sidney
    Bicalho, Luis Fernando
    Joia, Leonardo Camacho de Oliveira
    da Silva Junior, Jose Ricardo
    Clua, Esteban
    Paes, Aline
    APPLIED INTELLIGENCE, 2023, 53 (23) : 29024 - 29042
  • [2] Distance Information Improves Heterogeneous Graph Neural Networks
    Shi, Chuan
    Ji, Houye
    Lu, Zhiyuan
    Tang, Ye
    Li, Pan
    Yang, Cheng
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36 (03) : 1030 - 1043
  • [3] Molecular graph encoding convolutional neural networks for automatic chemical feature extraction
    Xu, Youjun
    Pei, Jianfeng
    Lai, Luhua
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 255
  • [4] Heterogeneous Graph Neural Network with Distance Encoding
    Ji, Houye
    Yang, Cheng
    Shi, Chuan
    Li, Pan
    2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021), 2021, : 1138 - 1143
  • [5] Heterogeneous graph neural networks with denoising for graph embeddings
    Dong, Xinrui
    Zhang, Yijia
    Pang, Kuo
    Chen, Fei
    Lu, Mingyu
    KNOWLEDGE-BASED SYSTEMS, 2022, 238
  • [6] Heterogeneous Graph Structure Learning for Graph Neural Networks
    Zhao, Jianan
    Wang, Xiao
    Shi, Chuan
    Hu, Binbin
    Song, Guojie
    Ye, Yanfang
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 4697 - 4705
  • [7] Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information
    Zhang, Han
    Hao, Yu
    Cao, Xin
    Fang, Yixiang
    Shin, Won-Yong
    Wang, Wei
    PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021, 2021, : 2517 - 2526
  • [8] Game Theoretic Explanations for Graph Neural Networks
    Kamal, Ataollah
    Robardet, Celine
    Plantevit, Marc
    MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT III, 2025, 2135 : 217 - 232
  • [9] Binary level toolchain provenance identification with graph neural networks
    Benoit, Tristan
    Marion, Jean-Yves
    Bardin, Sebastien
    2021 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION AND REENGINEERING (SANER 2021), 2021, : 131 - 141
  • [10] Feature Selection and Extraction for Graph Neural Networks
    Acharya, Deepak Bhaskar
    Zhang, Huaming
    ACMSE 2020: PROCEEDINGS OF THE 2020 ACM SOUTHEAST CONFERENCE, 2020, : 252 - 255