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A Robust Hierarchical Graph Convolutional Network Model for
  Collaborative Filtering

A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering

30 April 2020
Shaowen Peng
Tsunenori Mine
ArXiv (abs)PDFHTML

Papers citing "A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering"

4 / 4 papers shown
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Xilie Xu
Keyi Kong
Ning Liu
Li-zhen Cui
Haiyan Zhao
Jingfeng Zhang
Mohan Kankanhalli
AAMLSILM
294
142
0
20 Oct 2023
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Adversarial Attack and Defense for Non-Parametric Two-Sample TestsInternational Conference on Machine Learning (ICML), 2022
Xilie Xu
Jingfeng Zhang
Yifan Zhang
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
381
2
0
07 Feb 2022
User Embedding based Neighborhood Aggregation Method for Inductive
  Recommendation
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation
Rahul Ragesh
Sundararajan Sellamanickam
Vijay Lingam
Arun Shankar Iyer
Ramakrishna Bairi
GNN
231
6
0
15 Feb 2021
Adversarial Attack and Defense on Graph Data: A Survey
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
Yangqiu Song
GNNAAML
639
370
0
26 Dec 2018
1
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