☆122Sep 13, 2023Updated 3 years ago
Alternatives and similar repositories for digraph_transformer
Users that are interested in digraph_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:
- Scalable and privacy-enhanced graph generative models for benchmark graph neural networks☆17Nov 1, 2023Updated 2 years ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆83May 19, 2025Updated last year
- Official code for SPE☆20Sep 15, 2024Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆268Feb 21, 2023Updated 3 years ago
- [ICLR 2025] Implementation of "Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning"☆18Jun 6, 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.
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆53Aug 16, 2024Updated 2 years ago
- [ICML 2024 Oral] LSH-Based Efficient Point Transformer (HEPT)☆27Jan 24, 2025Updated last year
- ☆21Jun 13, 2023Updated 3 years ago
- Papers about graph transformers.☆932Mar 19, 2025Updated last year
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆12Oct 14, 2023Updated 3 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Mar 4, 2024Updated 2 years ago
- SignNet and BasisNet☆101Jul 25, 2023Updated 3 years ago
- MagNet graph convolutional network☆40Jan 8, 2024Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆25Jul 18, 2023Updated 3 years ago
- 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.
- [Preprint] Graph State Space Convolution (GSSC)☆14Jun 11, 2024Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆165Nov 28, 2023Updated 2 years ago
- Exphormer: Sparse Transformer for Graphs☆194Feb 26, 2024Updated 2 years ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆31Apr 13, 2024Updated 2 years ago
- The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"☆312Jul 2, 2025Updated last year
- ☆11Jan 5, 2022Updated 4 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Dec 23, 2025Updated 10 months ago
- The official implementation of DIG-MILP☆14Oct 27, 2023Updated 3 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30May 20, 2020Updated 6 years ago
- 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.
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆350Apr 11, 2023Updated 3 years ago
- ☆15Oct 8, 2024Updated 2 years ago
- Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale, TACL (2022)☆142Jul 31, 2026Updated 2 months ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- Few-shot Learning with Auxiliary Data☆30Dec 8, 2023Updated 2 years ago
- ☆19May 24, 2023Updated 3 years ago
- ☆18Oct 12, 2025Updated last year
- ☆19Dec 9, 2023Updated 2 years ago
- Repository for the AAAI 2022 paper: Directed Graph Auto-Encoders☆21Feb 28, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Oct 18, 2023Updated 3 years ago
- ☆20Jan 9, 2024Updated 2 years ago
- Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"☆10Nov 18, 2022Updated 3 years ago
- This is a repo to store circuit design datasets☆19Jan 17, 2024Updated 2 years ago
- Official repository of the paper "Pyramidal Reservoir Graph Neural Networks".☆10Mar 15, 2025Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆266Feb 10, 2022Updated 4 years ago
- Reconsidering the Performance of GAE in Link Prediction☆17Jan 12, 2026Updated 9 months ago