Rex Ying's Ph.D. Thesis, Stanford University
☆42Jun 16, 2022Updated 3 years ago
Alternatives and similar repositories for Rex-Ying-Thesis
Users that are interested in Rex-Ying-Thesis are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Dec 19, 2023Updated 2 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆28Feb 24, 2022Updated 4 years ago
- Implementation of Active Anomaly Discovery (AAD) in Python☆15Dec 19, 2017Updated 8 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 4 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆85Jun 7, 2023Updated 2 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Nov 23, 2021Updated 4 years ago
- Running PDEs on graph☆30Oct 17, 2022Updated 3 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆86Jun 16, 2025Updated 9 months ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆77Jul 9, 2021Updated 4 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Jan 31, 2026Updated last month
- ☆10Nov 12, 2020Updated 5 years ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Feb 12, 2025Updated last year
- Edge-Augmented Graph Transformer☆81Feb 16, 2024Updated 2 years ago
- Code and Data for paper: Beyond Views: Measuring and Predicting Engagement in Online Videos (ICWSM '18)☆25Feb 14, 2024Updated 2 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- A fast MATLAB implementation of the Weisfeiler--Lehman graph transformation and associated kernel.☆11Oct 25, 2017Updated 8 years ago
- Schedule for learning on graphs seminar☆109Sep 17, 2023Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆207Feb 21, 2025Updated last year
- code for "Self-supervised representation learning on dynamic graphs"☆27Jan 4, 2022Updated 4 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆65Jun 23, 2023Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Apr 25, 2022Updated 3 years ago
- ☆140Jul 9, 2023Updated 2 years ago
- Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”☆16Jun 4, 2019Updated 6 years ago
- This is a Pytorch implementation of GraphLIME☆95Jan 6, 2022Updated 4 years ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆23Jun 29, 2023Updated 2 years ago
- An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)☆51Aug 3, 2021Updated 4 years ago
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆141Oct 10, 2025Updated 5 months ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆36Aug 29, 2021Updated 4 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆24Oct 29, 2023Updated 2 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 3 years ago
- Temporal Graph Benchmark project repo☆249Oct 6, 2025Updated 5 months ago
- Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer, NeurIPS2024☆28May 27, 2025Updated 9 months ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆166Aug 30, 2022Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆54May 5, 2020Updated 5 years ago
- Code for the paper "OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing"☆11Aug 2, 2025Updated 7 months ago
- ☆37Jul 30, 2023Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 4 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Jun 9, 2020Updated 5 years ago