Arthurma71 / AdvDropLinks
☆10Updated last year
Alternatives and similar repositories for AdvDrop
Users that are interested in AdvDrop are comparing it to the libraries listed below
Sorting:
- [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"☆65Updated last year
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 2 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆34Updated 3 years ago
- ☆25Updated 2 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated last year
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation☆14Updated 10 months ago
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆48Updated last year
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆19Updated last year
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆17Updated last year
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆32Updated 2 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆21Updated 2 years ago
- ☆16Updated 9 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28Updated last year
- SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"☆17Updated 2 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆27Updated 2 years ago
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆63Updated last year
- SHT, KDD 2022☆53Updated 2 years ago
- The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"☆18Updated 3 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆62Updated 2 years ago
- TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"☆18Updated 7 months ago
- Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation☆13Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆23Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 7 months ago
- The source code of SpCo☆34Updated 2 years ago
- ☆22Updated 9 months ago
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Updated 2 years ago
- DualGNN: Dual Graph Neural Network for Micro-video Recommendation☆14Updated 3 years ago