A Graph Neural Network Approach for Product Relationship Prediction

Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen

Type: Preprint

Publication Date: 2021-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.2105.05881

View Publication

Locations

arXiv (Cornell University) - View - PDF
DataCite API - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	A Graph Neural Network Approach for Product Relationship Prediction	2021	Faez Ahmed Yaxin Cui Yan Fu Wei Chen
+ PDF Chat	Recommending Related Products Using Graph Neural Networks in Directed Graphs	2023	Srinivas Virinchi Anoop Saladi Abhirup Mondal
+	Dual Convolutional Neural Network for Graph of Graphs Link Prediction	2018	Shonosuke Harada Hirotaka Akita Masashi Tsubaki Yukino Baba Ichigaku Takigawa Yoshihiro Yamanishi Hisashi Kashima
+ PDF Chat	A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications	2025	Eugenio Borzone Leandro E. Di Persia M. Gérard
+	Recommending Related Products Using Graph Neural Networks in Directed Graphs	2022	Virinchi Srinivas Anoop Saladi Abhirup Mondal
+	Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification	2020	Xiaoxiao Li João Saúde
+	Network In Graph Neural Network	2021	Xiang Song Runjie Ma Jiahang Li Muhan Zhang David Wipf
+	A Survey on Graph Classification and Link Prediction based on GNN	2023	Xingyu Liu Juan Chen Quan Wen
+	Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction	2021	Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang
+	GIPA: General Information Propagation Algorithm for Graph Learning	2021	Qinkai Zheng Houyi Li Peng Zhang Zhixiong Yang Guowei Zhang Xintan Zeng Yongchao Liu
+ PDF Chat	HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based Supply Chain Risk Assessment	2023	Zhanting Zhou Kejun Bi Yuyanzhen Zhong Chao Tang Dongfen Li Shi Ying Ruijin Wang
+	HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based Supply Chain Risk Assessment	2023	Zhanting Zhou Kejun Bi Yuyanzhen Zhong Chao Tang Dongfen Li Shi Ying Ruijin Wang
+	Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems	2023	Haojun Zhu V. Kapoor Priya Sharma
+	AliGraph: A Comprehensive Graph Neural Network Platform	2019	Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou
+	A Survey on Explainability of Graph Neural Networks	2023	Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charų C. Aggarwal Sourav Medya
+ PDF Chat	CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks	2020	Jiaqi Ma Bo Chang Xuefei Zhang Qiaozhu Mei
+	CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks	2020	Jiaqi Ma Bo Chang Xuefei Zhang Qiaozhu Mei
+	Toward the Analysis of Graph Neural Networks	2022	Thanh-Dat Nguyen Thanh Le-Cong ThanhVu Nguyen Xuan-Bach D. Le Huỳnh Quyết Thắng
+ PDF Chat	Graph as a feature: improving node classification with non-neural graph-aware logistic regression	2024	Simon Delarue Thomas Bonald Tiphaine Viard
+	A parameterised model for link prediction using node centrality and similarity measure based on graph embedding	2023	Haohui Lu Shahadat Uddin

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (9)

Action	Title	Year	Authors
+ PDF Chat	The Structure and Function of Complex Networks	2003	Michael Newman
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling
+	Towards A Rigorous Science of Interpretable Machine Learning	2017	Finale Doshi‐Velez Been Kim
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec
+	Graph Neural Networks: A Review of Methods and Applications	2018	Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun
+ PDF Chat	Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba	2018	Jizhe Wang Pipei Huang Huan Zhao Zhibo Zhang Binqiang Zhao Dik Lun Lee
+ PDF Chat	Techniques for interpretable machine learning	2019	Mengnan Du Ninghao Liu Xia Hu
+ PDF Chat	Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec	2018	Jiezhong Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang Jie Tang
+	A Comprehensive Survey on Graph Neural Networks	2020	Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu