Official Pytorch Implementation of GraphiT
☆110Jul 6, 2021Updated 4 years ago
Alternatives and similar repositories for GraphiT
Users that are interested in GraphiT are comparing it to the libraries listed below
Sorting:
- ☆155Aug 23, 2021Updated 4 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆164Nov 28, 2023Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆263Feb 21, 2023Updated 3 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Aug 16, 2022Updated 3 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆169Apr 22, 2024Updated last year
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,018Jul 27, 2021Updated 4 years ago
- ☆32Dec 13, 2023Updated 2 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Feb 10, 2022Updated 4 years ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆834Jul 4, 2024Updated last year
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆36Oct 26, 2021Updated 4 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90May 21, 2023Updated 2 years ago
- Gradient gating (ICLR 2023)☆55May 11, 2023Updated 2 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Jul 10, 2022Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Dec 11, 2022Updated 3 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Jan 31, 2023Updated 3 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated last year
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Oct 22, 2024Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- ☆12May 31, 2021Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 4 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆23Dec 18, 2023Updated 2 years ago
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Oct 1, 2023Updated 2 years ago
- L4DC2021 code repository☆15Apr 14, 2021Updated 4 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆35Mar 3, 2021Updated 4 years ago
- Heterogeneous Graph Transformer for Graph-to-Sequence Learning☆48Nov 7, 2020Updated 5 years ago
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆344Apr 11, 2023Updated 2 years ago
- SignNet and BasisNet☆102Jul 25, 2023Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,423Jun 7, 2024Updated last year
- Sandbox to analysis and benchmarking Graph Transformer Neural Networks☆39Feb 4, 2023Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 (LoG) tutorial "Graph Rewiring: From Theory to Applic…☆54Dec 20, 2022Updated 3 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆134Apr 22, 2022Updated 3 years ago
- ☆43Jun 4, 2023Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 4 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- Official code for Fisher information embedding for node and graph learning (ICML 2023)☆19Jun 17, 2023Updated 2 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Aug 8, 2023Updated 2 years ago
- ☆42Jul 3, 2022Updated 3 years ago
- Transformer-based Spectral Graph Neural Networks☆85Oct 7, 2024Updated last year
- Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.☆173Oct 8, 2023Updated 2 years ago