DavidZWZ / LightGODELinks
[CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
☆14Updated last year
Alternatives and similar repositories for LightGODE
Users that are interested in LightGODE are comparing it to the libraries listed below
Sorting:
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆49Updated last year
- [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"☆69Updated last year
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆59Updated last year
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆62Updated 2 years ago
- [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"☆28Updated last year
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆46Updated last year
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆66Updated last year
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆32Updated 2 years ago
- [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering☆14Updated last year
- ☆21Updated 2 years ago
- [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"☆72Updated last year
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆61Updated 2 years ago
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆191Updated 2 years ago
- [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"☆64Updated last year
- [WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"☆49Updated last year
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆19Updated 2 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆33Updated last year
- [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation☆68Updated 2 years ago
- [ACL 2024] RDRec: Rationale Distillation for LLM-based Recommendation☆36Updated 5 months ago
- [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"☆22Updated 2 years ago
- [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…☆34Updated last year
- [SIGIR 2023] LightGT: A Light Graph Transformer for Multimedia Recommendation☆27Updated last year
- [CIKM '24] Implementation of "Multi-Behavior Generative Recommendation"☆45Updated last year
- [NeurIPS'24 Spotlight] The official implementation code of LLM-ESR.☆40Updated last year
- [KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"☆80Updated last year
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆54Updated last year
- Implementation of "Pre-training Graph Transformer with Multimodal Side Information for Recommendation"☆16Updated 3 years ago
- [SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation☆30Updated 3 years ago
- The source code is for the paper: “Triple Sequence Learning for Cross-domain Recommendation” accepted in TOIS by Haokai Ma, Ruobing Xie, …☆14Updated last year
- [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"☆14Updated 2 years ago