LUOyk1999 / DAGformer
[NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"
☆65Updated 8 months ago
Alternatives and similar repositories for DAGformer:
Users that are interested in DAGformer are comparing it to the libraries listed below
- A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…☆126Updated 11 months ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆55Updated 6 months ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆43Updated 2 years ago
- ☆17Updated last year
- A graph transformer framework☆77Updated 2 years ago
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆45Updated 2 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆25Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆302Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆88Updated 5 months ago
- ☆57Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆121Updated last year
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆32Updated 3 years ago
- [ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs☆13Updated 2 months ago
- Gradient gating (ICLR 2023)☆53Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆50Updated last year
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆134Updated 4 months ago
- List of papers on ICML2023.☆55Updated last year
- ☆38Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- ☆87Updated last year
- Dynamic Graph Benchmark☆74Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆192Updated last month
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆252Updated 3 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 2 years ago
- ☆155Updated 3 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago