BlackHalo-Drake / SAGNN-Substructure-Aware-Graph-Neural-Networks
Official implementation of SAGNN
☆17Updated last year
Related projects ⓘ
Alternatives and complementary repositories for SAGNN-Substructure-Aware-Graph-Neural-Networks
- This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.☆19Updated last year
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆39Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆64Updated 7 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆34Updated 6 months ago
- ☆50Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆100Updated last month
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆54Updated 2 years ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆16Updated last year
- Edge-Augmented Graph Transformer☆72Updated 9 months ago
- ☆11Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆19Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆24Updated 5 months ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆40Updated last year
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆42Updated 2 years ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆30Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆60Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆30Updated 8 months ago
- Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"☆38Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆77Updated 2 years ago
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Updated 11 months ago
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆77Updated 3 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆123Updated 2 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆78Updated last week
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆109Updated 2 months ago
- Papers about Molecular Machine Learning (MoML) given its human language textual description☆69Updated 3 months ago
- The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Lea…☆56Updated last year
- ☆23Updated 8 months ago
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆15Updated 5 months ago
- ☆30Updated 11 months ago