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Challenging the Myth of Graph Collaborative Filtering: a Reasoned and
  Reproducibility-driven Analysis

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis

1 August 2023
Vito Walter Anelli
Daniele Malitesta
Claudio Pomo
Alejandro Bellogín
Tommaso Di Noia
E. Sciascio
ArXivPDFHTML

Papers citing "Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis"

6 / 6 papers shown
Title
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
Maurizio Ferrari Dacrema
Michael Benigni
Nicola Ferro
44
0
0
10 Mar 2025
Fair Augmentation for Graph Collaborative Filtering
Fair Augmentation for Graph Collaborative Filtering
Ludovico Boratto
Francesco Fabbri
Gianni Fenu
Mirko Marras
Giacomo Medda
48
2
0
22 Aug 2024
Job recommendations: benchmarking of collaborative filtering methods for
  classifieds
Job recommendations: benchmarking of collaborative filtering methods for classifieds
Robert Kwieciñski
A. Filipowska
Tomasz Górecki
V. Dubrov
13
4
0
19 Jan 2023
Graph Trend Filtering Networks for Recommendations
Graph Trend Filtering Networks for Recommendations
Wenqi Fan
Xiaorui Liu
Wei Jin
Xiangyu Zhao
Jiliang Tang
Qing Li
73
101
0
12 Aug 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
176
1,111
0
27 Apr 2021
Bipartite Graph Embedding via Mutual Information Maximization
Bipartite Graph Embedding via Mutual Information Maximization
Jiangxia Cao
Xixun Lin
Shu Guo
Luchen Liu
Tingwen Liu
Bin Wang
80
110
0
10 Dec 2020
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