chr26195 / CaseqLinks
The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIPS 2022.
☆22Updated last year
Alternatives and similar repositories for Caseq
Users that are interested in Caseq are comparing it to the libraries listed below
Sorting:
- [CIKM '24] Implementation of "Multi-Behavior Generative Recommendation"☆36Updated 10 months ago
- Source code and dataset for WWW'22 paper "STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation"☆39Updated 2 years ago
- The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"☆47Updated 3 years ago
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆36Updated 2 years ago
- ☆24Updated 2 years ago
- HCCF, SIGIR 2022☆99Updated last year
- SHT, KDD 2022☆53Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆90Updated last year
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆25Updated 8 months ago
- ☆45Updated last year
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆38Updated 3 years ago
- ☆25Updated 2 years ago
- Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation☆63Updated last month
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 7 months ago
- ☆10Updated last year
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆32Updated 2 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆27Updated 2 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Updated 2 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆18Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- Source code from the SIGIR 2023 article "Attention Mixtures for Time-Aware Sequential Recommendation" by V.A. Tran, G. Salha-Galvan, B. S…☆28Updated last year
- The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.☆16Updated 2 years ago
- DualGNN: Dual Graph Neural Network for Micro-video Recommendation☆14Updated 3 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.☆28Updated 2 years ago
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆48Updated last year
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated 10 months ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆32Updated 10 months ago