shamim-hussain / egt_pytorch
Edge-Augmented Graph Transformer
☆76Updated 11 months ago
Alternatives and similar repositories for egt_pytorch:
Users that are interested in egt_pytorch are comparing it to the libraries listed below
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆115Updated 2 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- Edge-Augmented Graph Transformer☆50Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆66Updated 10 months ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆102Updated last year
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆126Updated 2 years ago
- A graph transformer framework☆77Updated 2 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆61Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 8 months ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆78Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆116Updated last year
- ☆153Updated 3 years ago
- ☆38Updated last year
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- Graph Positional and Structural Encoder☆45Updated 3 weeks ago
- Official Pytorch code for Structure-Aware Transformer.☆255Updated last year
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆47Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 8 months ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆163Updated 11 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆156Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆87Updated 11 months ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆43Updated 2 years ago
- [Preprint] Graph State Space Convolution (GSSC)☆14Updated 8 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆49Updated last year
- Triplet Graph Transformer☆40Updated 8 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆156Updated 9 months ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 3 years ago