BorgwardtLab / SATLinks
Official Pytorch code for Structure-Aware Transformer.
☆262Updated 2 years ago
Alternatives and similar repositories for SAT
Users that are interested in SAT are comparing it to the libraries listed below
Sorting:
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆132Updated 3 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆314Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆167Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆134Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆203Updated 4 years ago
- A graph transformer framework☆78Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆211Updated 11 months ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 8 months ago
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆354Updated 3 years ago
- ☆156Updated 4 years ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆181Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆129Updated 4 months ago
- ☆139Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆103Updated 4 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆161Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆50Updated last year
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆91Updated last year
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆566Updated 2 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆104Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆339Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆204Updated 10 months ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆107Updated 4 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆173Updated last year