Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation
☆38Nov 27, 2023Updated 2 years ago
Alternatives and similar repositories for MAMDR
Users that are interested in MAMDR are comparing it to the libraries listed below
Sorting:
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34May 12, 2023Updated 2 years ago
- Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"☆19Mar 21, 2024Updated 2 years ago
- The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".☆18Sep 26, 2023Updated 2 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated last year
- Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"☆16Jul 2, 2023Updated 2 years ago
- Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion☆43Oct 4, 2024Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆45Nov 1, 2023Updated 2 years ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Jun 15, 2023Updated 2 years ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆31Feb 10, 2026Updated last month
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Mar 6, 2023Updated 3 years ago
- This repository summarises the open source codes of our group☆27Nov 3, 2022Updated 3 years ago
- Official code for RawNP (ECML-PKDD 2023)☆20Feb 21, 2025Updated last year
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Oct 6, 2023Updated 2 years ago
- ☆19May 31, 2022Updated 3 years ago
- ☆15Nov 3, 2022Updated 3 years ago
- implementation code for 'PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations' in SIGIR 2023☆13Sep 27, 2024Updated last year
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆50Sep 9, 2021Updated 4 years ago
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆17Oct 22, 2023Updated 2 years ago
- AFT model tf code☆18Nov 8, 2021Updated 4 years ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆39Sep 23, 2023Updated 2 years ago
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Mar 18, 2024Updated 2 years ago
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆13Feb 8, 2025Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43May 24, 2023Updated 2 years ago
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Feb 28, 2023Updated 3 years ago
- Contrastive Learning for Conversion Rate Prediction☆24Sep 4, 2023Updated 2 years ago
- PyTorch Implementation of Query-Aware Sequential Recommendation (CIKM'22)☆13Sep 28, 2022Updated 3 years ago
- ☆98Jul 5, 2024Updated last year
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Oct 22, 2020Updated 5 years ago
- ☆25Apr 15, 2025Updated 11 months ago
- [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation☆16Sep 20, 2024Updated last year
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated last year
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆89Nov 10, 2022Updated 3 years ago
- [Paper][WWW2023] Structure Pre-training and Prompt Tuning for Knowledge Graph Transfer☆50May 26, 2023Updated 2 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆76Apr 5, 2023Updated 2 years ago
- Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.☆74Jan 22, 2024Updated 2 years ago