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HGNNLM: Large Language Models with HyperGraph Data Augmentation for Recommendation

https://doi.org/10.2139/ssrn.5611355
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11280-024-01291-2openalex-snapshot
A survey on large language models for recommendation
inferredcites →https://doi.org/10.1016/j.ipm.2024.103938openalex-snapshot
Sequential recommendation by reprogramming pretrained transformer
inferredcites →https://doi.org/10.1016/j.ipm.2024.103948openalex-snapshot
Higher-order structure based node importance evaluation in directed networks
inferredcites →https://doi.org/10.1016/j.ipm.2024.103950openalex-snapshot
Upper bound on the predictability of rating prediction in recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2024.112119openalex-snapshot
Multi-aspect Knowledge-enhanced Hypergraph Attention Network for Conversational Recommendation Systems
inferredcites →https://doi.org/10.1016/j.knosys.2024.112177openalex-snapshot
Forecasting the molecular interactions: A hypergraph-based neural network for molecular relational learning
inferredcites →https://doi.org/10.1016/j.knosys.2024.112311openalex-snapshot
Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks
inferredcites →https://doi.org/10.1016/j.knosys.2024.112635openalex-snapshot
Contrastive learning for fair graph representations via counterfactual graph augmentation
inferredcites →https://doi.org/10.1109/icdm.2016.0030openalex-snapshot
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2024.3392335openalex-snapshot
Recommender Systems in the Era of Large Language Models (LLMs)
inferredcites →https://doi.org/10.1109/tkde.2025.3540912openalex-snapshot
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation
inferredcites →https://doi.org/10.1109/tpami.2020.3039374openalex-snapshot
Hypergraph Learning: Methods and Practices
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2766462.2767694openalex-snapshot
Learning Hierarchical Representation Model for NextBasket Recommendation
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3442381.3449802openalex-snapshot
Graph Contrastive Learning with Adaptive Augmentation
inferredcites →https://doi.org/10.1145/3477495.3532058openalex-snapshot
Hypergraph Contrastive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3485447.3512104openalex-snapshot
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
inferredcites →https://doi.org/10.1145/3534678.3539090openalex-snapshot
ReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-Commerce
inferredcites →https://doi.org/10.1145/3534678.3539381openalex-snapshot
Towards Universal Sequence Representation Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3539618.3591932openalex-snapshot
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited
inferredcites →https://doi.org/10.1145/3543507.3583361openalex-snapshot
Debiased Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3678004openalex-snapshot
How Can Recommender Systems Benefit from Large Language Models: A Survey
inferredcites →https://doi.org/10.1145/3705728openalex-snapshot
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation
inferredcites →https://doi.org/10.1145/3708882openalex-snapshot
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v34i01.5330openalex-snapshot
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
inferredcites →https://doi.org/10.1609/aaai.v35i5.16557openalex-snapshot
U-BERT: Pre-training User Representations for Improved Recommendation
inferredcites →https://doi.org/10.1609/aaai.v35i5.16561openalex-snapshot
Detecting Beneficial Feature Interactions for Recommender Systems
inferredcites →https://doi.org/10.1609/aaai.v35i5.16578openalex-snapshot
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
inferredcites →https://doi.org/10.1609/aaai.v38i8.28754openalex-snapshot
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
inferredcites →https://doi.org/10.1609/aaai.v38i8.28769openalex-snapshot
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.39openalex-snapshot
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
inferredcites →https://doi.org/10.18653/v1/p19-1033openalex-snapshot
Neural News Recommendation with Long- and Short-term User Representations
inferredcites →https://doi.org/10.24963/ijcai.2022/267openalex-snapshot
Hypergraph Structure Learning for Hypergraph Neural Networks
inferredcites →https://doi.org/10.4230/oasics.slate.2022.19openalex-snapshot
Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1809.02589openalex-snapshot
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
inferredcites →https://doi.org/10.48550/arxiv.1904.06690openalex-snapshot
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
inferredcites →https://doi.org/10.48550/arxiv.2010.13902openalex-snapshot
Graph Contrastive Learning with Augmentations
inferredcites →https://doi.org/10.48550/arxiv.2112.08679openalex-snapshot
Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2203.02155openalex-snapshot
Discernment and Social Learning as a Companion Training Layer
inferredcites →https://doi.org/10.48550/arxiv.2302.13971openalex-snapshot
LLaMA: Open and Efficient Foundation Language Models
inferredcites →https://doi.org/10.48550/arxiv.2304.10149openalex-snapshot
Is ChatGPT a Good Recommender? A Preliminary Study
inferredcites →https://doi.org/10.48550/arxiv.2401.15422openalex-snapshot
A Survey on Data Augmentation in Large Model Era
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