zhao-ht / DeepGraph
This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.
☆21Updated last year
Alternatives and similar repositories for DeepGraph:
Users that are interested in DeepGraph are comparing it to the libraries listed below
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆14Updated 5 months ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆119Updated 4 months ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆41Updated 3 weeks ago
- Edge-Augmented Graph Transformer☆76Updated last year
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆33Updated last year
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆19Updated last year
- ☆13Updated 2 years ago
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆19Updated 10 months ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated last year
- ☆18Updated last year
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆61Updated last year
- The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"☆61Updated 3 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆44Updated 4 months ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆19Updated last year
- Official implementation for "Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention" (NeurIPS2024 Spotlight)☆10Updated 6 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆55Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆36Updated last year
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 8 months ago
- ☆31Updated last year
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆40Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆56Updated 2 years ago
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆117Updated last year
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆13Updated 11 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 8 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆42Updated 11 months ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆27Updated 2 years ago
- The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".☆27Updated last year
- The official codes and implementations of HimGNN model in paper:"HimGNN:a novel hierarchical molecular representations learning framewor…☆17Updated last year