sc782 / SBM-TransformerLinks
☆14Updated 2 years ago
Alternatives and similar repositories for SBM-Transformer
Users that are interested in SBM-Transformer are comparing it to the libraries listed below
Sorting:
- [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.☆17Updated last year
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Updated last year
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆23Updated 8 months ago
- Learning energy decompositions for partial inference in GFlowNets☆16Updated last year
- Pytorch implementation of neural processes and variants☆29Updated last year
- Official Code Repository for the paper "Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes" (ICML 2024).☆14Updated last year
- Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper☆13Updated 3 years ago
- ☆11Updated last year
- ☆11Updated last year
- A Simple and Scalable Representation for Graph Generation (ICLR 2024)☆21Updated last year
- Simple illustrative examples for energy-based models in PyTorch☆67Updated 5 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS☆31Updated 5 years ago
- Attentive Co-Evolving Neural Ordinary Differential Equations☆30Updated 2 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- Course Website for "AI618: Generative Model and Unsupervised Learning"☆37Updated 2 years ago
- Official codebase for AdaRank: Adaptive Rank Pruning for Enhanced Model Merging☆16Updated 2 months ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆68Updated 2 years ago
- ☆34Updated 7 months ago
- [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch☆16Updated 8 months ago
- ☆19Updated 2 years ago
- ☆18Updated last year
- ☆27Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- Reproduce ICLR2025 Energy-Based Diffusion Language Models for Text Generation☆42Updated 3 months ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆89Updated 4 years ago
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆342Updated 2 years ago
- ☆23Updated last year
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Updated last year
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆40Updated last year