Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab @ CUK based on pure PyTorch backend.
☆28Jul 17, 2025Updated 11 months ago
Alternatives and similar repositories for Unified-Graph-Transformer
Users that are interested in Unified-Graph-Transformer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular pr…☆15Nov 26, 2025Updated 7 months ago
- Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree bias…☆15Aug 27, 2025Updated 10 months ago
- a robust metric (robust fidelity) for XGNN (ICLR24)☆12Jun 3, 2025Updated last year
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆14Apr 30, 2024Updated 2 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆22Jun 4, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.☆14Jun 14, 2024Updated 2 years ago
- DualGNN: Dual Graph Neural Network for Micro-video Recommendation☆17Apr 8, 2026Updated 2 months ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Oct 29, 2023Updated 2 years ago
- 청와대 국민청원 게시판의 데이터를 수집하는 스크래퍼☆15Oct 6, 2019Updated 6 years ago
- [WWW'2024] "Simple Multigraph Convolution Networks"☆13May 21, 2024Updated 2 years ago
- 🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024☆23Sep 14, 2024Updated last year
- ☆18Apr 30, 2025Updated last year
- A List of Papers on Theoretical Foundations of Graph Neural Networks☆59Apr 15, 2026Updated 2 months ago
- Repository for the implementation of our work on hypergraph generation as part of the ANR project "SODA".☆14Oct 27, 2025Updated 8 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆14Feb 8, 2025Updated last year
- ☆20Oct 5, 2023Updated 2 years ago
- My solution to the labs of the book "Modern Operating System: Principle and Implementation" by Haibo Chen☆16Feb 22, 2021Updated 5 years ago
- [WWW 2023] Code for "Graph Neural Networks with Diverse Spectral Filtering"☆22Dec 15, 2023Updated 2 years ago
- A multimodal dataset for google map restaurants.☆12Sep 28, 2022Updated 3 years ago
- A key-value storage system based on LSM Tree, using Skip List and Bloom Filter to accelerate.☆10Jun 10, 2021Updated 5 years ago
- "Editing Motion Graphics Video via Motion Vectorization and Transformation." SIGGRAPH Asia 2023.☆14Jan 24, 2024Updated 2 years ago
- the code of MoG☆22Aug 6, 2024Updated last year
- ☆14Jun 19, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A Survey of Learning from Graphs with Heterophily☆165Feb 28, 2025Updated last year
- ☆10Dec 23, 2020Updated 5 years ago
- [ICLR 2024] heterogeneous MoE: mixture of weak & strong experts on graphs https//openreview.net/pdf?id=wYvuY60SdD