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:
- ☆100Updated last year
- Attentive Neural Point Processes for Event Forecasting, AAAI 2021☆18Updated 4 years ago
- ☆25Updated 2 years ago
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Updated 10 months ago
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆183Updated 2 years ago
- ☆60Updated 5 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆92Updated last year
- HCCF, SIGIR 2022☆100Updated 2 years ago
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆36Updated 2 years ago
- ☆57Updated 3 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆60Updated last year
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆54Updated 2 years ago
- Source code and dataset for WWW'22 paper "STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation"☆39Updated 2 years ago
- A curated list of papers on graph structure learning (GSL).☆49Updated 8 months ago
- A list of Graph Causal Learning materials.☆198Updated 7 months ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated last year
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆50Updated last year
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆186Updated last year
- TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"☆18Updated last month
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆61Updated 2 years ago
- An awesome collection of causality-inspired graph neural networks.☆82Updated 9 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆62Updated last year
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆70Updated 3 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation☆21Updated 2 years ago
- Paper lists for Temporal Point Process☆113Updated 2 months ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆21Updated 2 years ago
- LHGNN: Link Prediction on Latent Heterogeneous Graphs☆10Updated 2 years ago
- Implementation of the paper "Contrastive Learning with Bidirectional Transformers for Sequential Recommendation".☆26Updated 2 years ago