sunyc123r / SSD-ICGALinks
The code implementation for "Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation"
☆13Updated 11 months ago
Alternatives and similar repositories for SSD-ICGA
Users that are interested in SSD-ICGA are comparing it to the libraries listed below
Sorting:
- ID-based Graph Recommendation Framework (PyTorch)☆26Updated 5 months ago
- [SIGIR25] Unveiling Contrastive Learning‘ Capability of Neighborhood Aggregation for Collaborative Filtering☆16Updated 3 months ago
- Implementation of SIGIR'25 accepted paper, focusing on social denoising recommendation☆10Updated 6 months ago
- ☆18Updated 10 months ago
- [TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"☆67Updated last year
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆64Updated last year
- The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)☆26Updated last year
- ☆31Updated 3 years ago
- ☆43Updated 2 years ago
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆59Updated last year
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆186Updated 2 years ago
- SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"☆17Updated 2 years ago
- MBCGCN☆16Updated 3 years ago
- ☆26Updated 2 years ago
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆52Updated last year
- ☆24Updated 3 years ago
- The pytorch implementation of "Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation" (SIGIR'…☆23Updated 2 years ago
- ☆21Updated 5 months ago
- [ACM TOIS] Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs☆12Updated 10 months ago
- [TKDE25] Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation☆12Updated 5 months ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆126Updated 2 years ago
- Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"☆30Updated last year
- [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"☆28Updated last year
- ☆33Updated 2 years ago
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆120Updated 11 months ago
- Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).☆52Updated last year
- [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…☆33Updated last year
- RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)☆28Updated last year
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆61Updated 2 years ago
- Adaptive Hardness Negative Sampling for Collaborative Filtering, AAAI2024☆12Updated last year