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:
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆22Updated last year
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆35Updated 2 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆52Updated 2 months ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆127Updated 5 months ago
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆129Updated 2 years ago
- ☆221Updated 2 years ago
- Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric☆166Updated 3 months ago
- ☆15Updated 2 years ago
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Updated 2 years ago
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆16Updated 8 months ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆62Updated 2 years ago
- ☆33Updated last year
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆66Updated last year
- ☆21Updated 2 years ago
- The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"☆103Updated 8 months ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆36Updated last year
- Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular pr…☆15Updated 2 months ago
- Official implementation of the paper: "DeFoG: Discrete Flow Matching for Graph Generation"☆51Updated this week
- ☆32Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Updated last year
- Edge-Augmented Graph Transformer☆80Updated last year
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆186Updated 2 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated 2 years ago
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆23Updated 2 years ago
- ☆138Updated 7 months ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- All graph/GNN papers accepted at NeurIPS 2024.☆85Updated last year
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆14Updated last year
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆127Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆31Updated 3 years ago