limei0307 / GQTLinks
The repository implements the paper "Learning Graph Quantized Tokenizers for Transformers".
☆11Updated 2 months ago
Alternatives and similar repositories for GQT
Users that are interested in GQT are comparing it to the libraries listed below
Sorting:
- Graph Positional and Structural Encoder☆50Updated 4 months ago
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆31Updated last year
- ☆31Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆36Updated last year
- A library for subgraph GNN based on pyg☆41Updated 6 months ago
- ☆28Updated 11 months ago
- [ICLR 2025] Implementation of "Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning"☆10Updated 2 weeks ago
- ☆21Updated last year
- Official Pytorch implementation of NeuralWalker☆33Updated last year
- Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).☆14Updated last year
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆28Updated this week
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆61Updated last year
- The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …☆77Updated 10 months ago
- ☆9Updated 9 months ago
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated last year
- ☆12Updated 2 years ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆87Updated last year
- ☆20Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆20Updated last year
- Geometric Deep Learning @ University of Cambridge☆23Updated 3 months ago
- ☆14Updated 4 months ago
- Graph Transformers for Large Graphs☆21Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆42Updated 2 months ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆40Updated 2 years ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆32Updated last year
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 3 years ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆56Updated last year
- Biological Information Extraction from Large Language Models (LLMs)☆12Updated last week
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆15Updated 2 weeks ago