XuHao-bit / TDAS
source code of the paper "[CIKM 2023] Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation"
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for TDAS
- ☆52Updated 9 months ago
- ☆14Updated last year
- Implementation of Representative Group Recommendation Models☆14Updated last year
- Codes and data for WWW 2023 Full Paper "ConsRec: Learning Consensus Behind Interactions for Group Recommendation"☆19Updated 4 months ago
- 基于UNIX V6++设计的二级文件系统☆7Updated 4 years ago
- ☆26Updated 3 years ago
- 简单改造了自己动手实现CPU的代码☆9Updated 3 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆34Updated 3 months ago
- DualGNN: Dual Graph Neural Network for Micro-video Recommendation☆13Updated 3 years ago
- 【超前持续更新】2020计算机保研夏令营信息分享☆58Updated 4 years ago
- ECNU编译原理课程大作业 x0编译器 lex yacc(bison)实现☆10Updated 5 years ago
- Diffusion Models, Recommender Systems, Recommendation, Diff4Rec☆21Updated last month
- M2GNN☆12Updated last year
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆11Updated 7 months ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆28Updated 10 months ago
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆16Updated last year
- Tail-GNN: Tail-Node Graph Neural Networks☆33Updated 3 years ago
- [KDD'21] Official PyTorch implementation for "Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data".☆12Updated 3 years ago
- 🔬 [SDM'24] This is the source code and baselines of our paper FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled…☆24Updated 5 months ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆67Updated 2 years ago
- The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (AC…☆37Updated 8 months ago
- Code for our paper 'Dynamically Expandable Graph Convolution for Streaming Recommendation' accepted by the Web Conference (WWW) 2023.☆25Updated last year
- Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23☆51Updated last year
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆35Updated 2 years ago
- ☆31Updated last year
- Source code for Learn Locally Correct Globally☆14Updated 3 years ago
- Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"☆27Updated 2 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆20Updated 2 years ago
- 🔨 跨域序列推荐(Cross-Domain Sequential Recommendation)的算法工具箱,旨在提供序列推荐、跨域推荐、跨域序列方法的baseline实现。目前本工具箱已包括TiSASRec、CoNet、PINet、MIFN这四种方法的实现。☆14Updated last year
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆35Updated last year