vijaydwivedi75 / gnn-lspe
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
☆253Updated 3 years ago
Alternatives and similar repositories for gnn-lspe:
Users that are interested in gnn-lspe are comparing it to the libraries listed below
- ☆155Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Official Pytorch code for Structure-Aware Transformer.☆256Updated 2 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆128Updated 2 years ago
- Official Pytorch Implementation of GraphiT☆108Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- A graph transformer framework☆77Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆117Updated 3 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆323Updated 10 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆158Updated 10 months ago
- Subgraph Neural Networks (NeurIPS 2020)☆193Updated 4 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆302Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆270Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆346Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆79Updated 5 months ago
- Edge-Augmented Graph Transformer☆76Updated last year
- ☆132Updated last year
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆41Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆113Updated 2 years ago
- ☆48Updated 2 years ago
- Gradient gating (ICLR 2023)☆53Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 9 months ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆102Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆67Updated 11 months ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 10 months ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆209Updated last year
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆163Updated last year