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:
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆15Updated last month
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆20Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆37Updated last year
- ☆14Updated 2 years ago
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆19Updated last year
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆33Updated 2 years ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆62Updated last year
- Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"☆36Updated last year
- ☆19Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆43Updated 2 months ago
- ☆29Updated last year
- Edge-Augmented Graph Transformer☆77Updated last year
- The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"☆72Updated 3 weeks ago
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆125Updated 6 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆44Updated 6 months ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆172Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆33Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆57Updated 3 weeks ago
- Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).☆17Updated last year
- Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular pr…☆13Updated 2 months ago
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆32Updated 6 months ago
- Official implementation for "Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention" (NeurIPS2024 Spotlight)☆12Updated 8 months ago
- Official implementation of paper "Learning High-Order Relationships of Brain Regions" [ICML 2024]☆18Updated 3 weeks ago
- ☆205Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆58Updated 2 years ago
- ☆31Updated last year
- The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".☆27Updated last year