Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)
☆31Nov 1, 2022Updated 3 years ago
Alternatives and similar repositories for Relational-Factorization-Model
Users that are interested in Relational-Factorization-Model are comparing it to the libraries listed below
Sorting:
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Dec 8, 2022Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Oct 8, 2020Updated 5 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆73Aug 20, 2019Updated 6 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆44Sep 15, 2019Updated 6 years ago
- ☆12Jun 18, 2020Updated 5 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Apr 26, 2023Updated 2 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Mar 2, 2021Updated 5 years ago
- Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"☆10Feb 10, 2020Updated 6 years ago
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆23Dec 13, 2020Updated 5 years ago
- ☆12Apr 16, 2020Updated 5 years ago
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Mar 17, 2024Updated last year
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Nov 6, 2019Updated 6 years ago
- ☆33Dec 17, 2025Updated 2 months ago
- Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"☆15Dec 8, 2022Updated 3 years ago
- A fully differentiable set autoencoder☆17Apr 3, 2024Updated last year
- ☆13May 16, 2018Updated 7 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 2 years ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Jun 15, 2024Updated last year
- ☆15Jun 17, 2021Updated 4 years ago
- J-BHI 2024: Exploiting Hierarchical Interactions for Protein Surface Learning☆17Jan 21, 2024Updated 2 years ago
- SuNBEaM, (s)pectral (n)on-(b)acktracking (e)igenvalue pseudo-(m)etric, a topological graph distance☆16Jan 27, 2020Updated 6 years ago
- "Answering queries over Knowledge Graphs with Graph Convolutional Networks" @ ICLR 2020 Workshop on Graph Representation Learning☆15Jul 13, 2020Updated 5 years ago
- Official PyTorch implementation for the paper Generalizable Face Landmarking Guided by Conditional Face Warping (CVPR 2024).☆22Nov 21, 2024Updated last year
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Oct 22, 2020Updated 5 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Aug 21, 2016Updated 9 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆238Jul 23, 2023Updated 2 years ago
- ICAE code(An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance)☆18Apr 20, 2023Updated 2 years ago
- DeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression sa…☆19Jun 7, 2018Updated 7 years ago
- project GCN-VAE for knowledge graphs☆16Aug 27, 2020Updated 5 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Jun 9, 2020Updated 5 years ago
- Python package to create and analyse temporal networks as event graphs.☆23Nov 13, 2018Updated 7 years ago
- ☆17Sep 20, 2020Updated 5 years ago
- A list of papers for group meeting☆19Jan 5, 2026Updated last month
- [ICML2025] The official implementation of "PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models"☆34Jan 30, 2026Updated last month
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Jun 9, 2020Updated 5 years ago
- [CIKM2023] The official implementation of "MPerformer: An SE(3) Transformer-based Molecular Perceptron"☆28Nov 12, 2024Updated last year
- ☆22Feb 5, 2026Updated 3 weeks ago
- LDP for graph classification☆23Nov 14, 2019Updated 6 years ago
- Orgainzed Digital Intelligent Network (O.D.I.N)☆22Oct 30, 2022Updated 3 years ago