zhao-ht / DeepGraphLinks
This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.
☆21Updated 2 years ago
Alternatives and similar repositories for DeepGraph
Users that are interested in DeepGraph are comparing it to the libraries listed below
Sorting:
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆34Updated 2 years ago
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆15Updated 3 months ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆124Updated 2 years ago
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆20Updated last year
- ☆214Updated 2 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆44Updated 4 months ago
- Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric☆149Updated last year
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆173Updated last year
- ☆14Updated 2 years ago
- The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"☆82Updated 2 months ago
- Official implementation of the paper: "DeFoG: Discrete Flow Matching for Graph Generation"☆33Updated last week
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆126Updated last week
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆19Updated last year
- ☆19Updated last year
- Triplet Graph Transformer☆47Updated last year
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆124Updated 2 years ago
- Edge-Augmented Graph Transformer☆78Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆102Updated 2 years ago
- ☆31Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆38Updated last year
- ☆131Updated 2 months ago
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆449Updated 4 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆69Updated last year
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated last year
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆62Updated last year
- [ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)☆214Updated 2 years ago
- Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular pr…☆13Updated last month
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆43Updated 2 years ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆65Updated 2 months ago