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
- Official Pytorch code for Structure-Aware Transformer.☆256Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆270Updated last year
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 2 years ago
- ☆132Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆158Updated 11 months ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 11 months ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆134Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆113Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆302Updated last year
- 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
- ☆62Updated 4 years ago
- Edge-Augmented Graph Transformer☆75Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆117Updated 3 months ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆88Updated 5 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated last year
- Gradient gating (ICLR 2023)☆53Updated last year
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆325Updated 2 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆155Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆346Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆193Updated 4 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆103Updated 3 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆94Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 3 years ago