C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
☆57Jul 22, 2023Updated 2 years ago
Alternatives and similar repositories for C-GMVAE
Users that are interested in C-GMVAE are comparing it to the libraries listed below
Sorting:
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Sep 6, 2023Updated 2 years ago
- Contrastive Variational Autoencoders☆72Feb 12, 2019Updated 7 years ago
- Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE☆20Jun 23, 2024Updated last year
- Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)☆11Jul 13, 2024Updated last year
- source code of paper 'Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Exis…☆11Jan 26, 2021Updated 5 years ago
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Feb 27, 2024Updated 2 years ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆15Apr 18, 2022Updated 3 years ago
- ☆17Nov 27, 2023Updated 2 years ago
- Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels [CVPR 2023]☆15Sep 23, 2023Updated 2 years ago
- Contrastive Learning with Model Augmentation☆18Aug 3, 2022Updated 3 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated last year
- Unsupervised neural network for learning embeddings of GO terms.☆21Feb 19, 2022Updated 4 years ago
- [EMNLP 2024] HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs☆23Apr 6, 2025Updated 11 months ago
- Categorical Variational Auto-encoders in PyTorch☆23Oct 26, 2021Updated 4 years ago
- Official code of "ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning"☆24Sep 25, 2023Updated 2 years ago
- ☆26Mar 26, 2024Updated last year
- [AAAI 2024] Multi-Label Supervised Contrastive Learning (MulSupCon)☆24May 6, 2024Updated last year
- Embeddings for ontologies in the Description Logic EL++☆28Feb 2, 2023Updated 3 years ago
- ☆62Apr 17, 2024Updated last year
- An Interpretable Self-Attention Network with block-attention and attention-attribution.☆12Sep 22, 2023Updated 2 years ago
- Correlated Graph Neural Networks☆27May 21, 2020Updated 5 years ago
- An official implementation of Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning☆28Jul 14, 2023Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- [NeurIPS'24] The official implementation code of LLM-ESR.☆37Jun 27, 2024Updated last year
- [Nat. Commun.] Code for paper 'Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely …☆33Oct 23, 2021Updated 4 years ago
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago
- The dataset repo of "CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels" paper☆16Aug 8, 2025Updated 7 months ago
- ☆33Aug 30, 2022Updated 3 years ago
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆34Jun 22, 2025Updated 8 months ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆34Mar 9, 2022Updated 4 years ago
- ☆32Dec 13, 2023Updated 2 years ago
- ☆18Dec 5, 2024Updated last year
- Two-way Multi-Label Loss☆36May 12, 2023Updated 2 years ago
- This repository collects lecture slides, assignments (CAs), code notebooks, reports, and reference papers used in the "Deep Generative Mo…☆17Feb 14, 2026Updated 3 weeks ago
- MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)☆35Mar 22, 2025Updated 11 months ago
- ☆36Jun 29, 2022Updated 3 years ago
- ☆38Jun 14, 2023Updated 2 years ago
- ☆36Feb 26, 2023Updated 3 years ago
- Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"☆12Feb 8, 2023Updated 3 years ago