PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
☆19Jul 5, 2024Updated 2 years ago
Alternatives and similar repositories for QGCN
Users that are interested in QGCN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Apr 15, 2024Updated 2 years ago
- S.-S. Young, Chia-Hsiang Lin, et al., “Unsupervised abundance matrix reconstruction transformer guided fractional attention mechanism for…☆20Oct 26, 2024Updated last year
- PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning" (AAAI'24)☆14Jul 5, 2024Updated 2 years ago
- ☆12Aug 7, 2024Updated 2 years ago
- Ultrahyperbolic Representation Learning☆12Jul 5, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- Official Code Repository for the paper "Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes" (ICML 2024).☆16Jul 21, 2024Updated 2 years ago
- Official implementation: Large Language Models are Interpretable Learners - Google☆13Jun 29, 2024Updated 2 years ago
- Temporal Graph Rewiring Method with Expander Graphs☆12Oct 18, 2024Updated last year
- Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)☆11Jul 13, 2024Updated 2 years ago
- Official reference implementation of our paper "Long Range Propagation on Continuous-Time Dynamic Graphs" accepted at ICML24 and "Effecti…☆15Sep 11, 2025Updated 11 months ago
- Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL 25☆17Mar 7, 2025Updated last year
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Nov 18, 2020Updated 5 years ago
- We are developing a time series forecasting model using reinforcement learning, based on OneNet, for stock market data prediction.☆10Apr 19, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆17Nov 8, 2021Updated 4 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Nov 23, 2022Updated 3 years ago
- ☆19Dec 6, 2024Updated last year
- The code of CVPR2024 "S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering "☆11Apr 3, 2024Updated 2 years ago
- Source code for WWW 2021 paper "Lorentzian Graph Convolutional Networks"☆14Jun 11, 2021Updated 5 years ago
- A PyG-based package of spectral GNNs with benchmark evaluations (SIGMOD 2026).☆19Aug 20, 2025Updated 11 months ago
- ☆26Apr 3, 2024Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 3 years ago
- [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch☆17Mar 4, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆14Feb 4, 2022Updated 4 years ago
- ☆15Jun 18, 2025Updated last year
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆11Mar 12, 2024Updated 2 years ago
- ☆38Sep 22, 2021Updated 4 years ago
- SULoRA: Danfeng Hong, Xiaoxiang Zhu. Subspace Unmixing with Low-Rank Attribute Embedding for Hyperspectral Data Analysis, IEEE JSTSP, 201…☆12Sep 10, 2020Updated 5 years ago
- a simple demo for paper 'Airport Detection in Large-Scale SAR Images via Line Segment Grouping and Saliency Analysis'☆13Jul 6, 2024Updated 2 years ago
- the implementation of TMNN. The paper is Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclea…☆11May 31, 2022Updated 4 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Apr 27, 2023Updated 3 years ago
- The official implementations of the Paper "G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning"☆44Jun 14, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Implementation for Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimiz…☆12Mar 22, 2023Updated 3 years ago
- [ACL 2024]Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs☆40Sep 24, 2024Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 4 years ago
- Embedding graphs in symmetric spaces☆30Sep 30, 2021Updated 4 years ago
- [ACL 2024] Source code for InBedder, an instruction-following text embedder☆31Oct 11, 2024Updated last year
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Oct 1, 2023Updated 2 years ago