Multi-modal Recommendation on Amazon Sports

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NGCG@20

Rank	Model	NGCG@20	Paper	Code	Year
1	MIG-GT	0.0511	Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation	crawlscript/mig-gt	2024
2	FREEDOM	0.0481	A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation	enoche/freedom · sisinflab/formal-multimod-rec	2022
3	SLMRec	0.0450	Self-Supervised Learning for Multimedia Recommendation	zltao/slmrec	2022
4	MGDN	0.0422	MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering	CrawlScript/Torch-MGDCF · hujunxianligong/MGDCF	2022
5	LATTICE	0.0421	Mining Latent Structures for Multimedia Recommendation	CRIPAC-DIG/LATTICE	2021
6	GRCN	0.0413	GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback	weiyinwei/grcn	2021
7	DualGNN	0.0404	DualGNN: Dual Graph Neural Network for Multimedia Recommendation	wqf321/dualgnn	2021
8	LightGCN	0.0387	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation	microsoft/recommenders · gusye1234/pytorch-light-gcn · PreferredAI/cornac · +15	2020
9	VBPR	0.0384	VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback	weiyinwei/mmgcn · domainxz/top-k-rec · arogers1/VBPR · +4	2015
10	MMGCN	0.0270	MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video	weiyinwei/mmgcn	2019