qkrdmsghk / GOODHSELinks
[CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments
☆12Updated 2 months ago
Alternatives and similar repositories for GOODHSE
Users that are interested in GOODHSE are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆42Updated 2 years ago
- Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".☆48Updated 3 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 10 months ago
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆33Updated 3 weeks ago
- ☆19Updated 4 months ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆24Updated 2 years ago
- Edge-Augmented Graph Transformer☆77Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- ☆35Updated last year
- [ACL 2023 Oral] Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning☆9Updated last year
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆58Updated 2 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆29Updated 2 years ago
- Directional diffusion models☆39Updated 8 months ago
- ☆11Updated 2 years ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆33Updated 2 years ago
- Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Fran…☆42Updated 2 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction☆13Updated last year
- ☆87Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆37Updated last year
- The official source code for "Single-cell RNA-seq data imputation using Feature Propagation", accepted at 2023 ICML Workshop on Computati…☆12Updated last year
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆17Updated last year
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆21Updated 8 months ago
- Papers about developing DL methods on disassortative graphs☆48Updated 3 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆126Updated 7 months ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago