Graph-COM / LRI
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
☆23Updated last year
Alternatives and similar repositories for LRI:
Users that are interested in LRI are comparing it to the libraries listed below
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆16Updated 3 months ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆11Updated 9 months ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆36Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆40Updated 2 weeks ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆61Updated last year
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆40Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆20Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆69Updated last year
- ☆15Updated last year
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆33Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆42Updated 2 years ago
- ☆20Updated last year
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 2 years ago
- Edge-Augmented Graph Transformer☆76Updated last year
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆22Updated last year
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated last year
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 7 months ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆40Updated last year
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆14Updated 5 months ago
- Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).☆14Updated last year
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Updated last year
- Official code for SPE☆15Updated 6 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆12Updated last year
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆21Updated 2 years ago
- ☆22Updated 2 years ago