[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
☆24Jul 18, 2023Updated 2 years ago
Alternatives and similar repositories for LRI
Users that are interested in LRI are comparing it to the libraries listed below
Sorting:
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆16Dec 28, 2024Updated last year
- [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language☆21Jul 15, 2025Updated 7 months ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Jun 20, 2023Updated 2 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆174Feb 19, 2024Updated 2 years ago
- [ICML 2024 Oral] LSH-Based Efficient Point Transformer (HEPT)☆24Jan 24, 2025Updated last year
- A cyclic peptide-protein complex dataset derived from AFDB.☆36Jan 30, 2026Updated last month
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆11Oct 14, 2023Updated 2 years ago
- Graph Neural Convection-Diffusion with Heterophily☆11May 29, 2023Updated 2 years ago
- ☆19Mar 20, 2025Updated 11 months ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Apr 10, 2025Updated 10 months ago
- ☆12Jul 17, 2023Updated 2 years ago
- The official implementation of DIG-MILP☆14Oct 27, 2023Updated 2 years ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Jun 15, 2024Updated last year
- New structural distributional shifts for evaluating graph models☆15Oct 25, 2023Updated 2 years ago
- [Preprint] Graph State Space Convolution (GSSC)☆14Jun 11, 2024Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Mar 16, 2024Updated last year
- Official code for SPE☆17Sep 15, 2024Updated last year
- [CIKM 2023 Short] Code for the paper "S-Mixup: Structural Mixup for Graph Neural Networks"☆18Aug 21, 2023Updated 2 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆15Jun 27, 2024Updated last year
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Dec 15, 2023Updated 2 years ago
- [ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs☆26Jan 26, 2025Updated last year
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 3 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Jul 4, 2022Updated 3 years ago
- Scalable and privacy-enhanced graph generative models for benchmark graph neural networks☆17Nov 1, 2023Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆20Apr 10, 2025Updated 10 months ago
- Pytorch implementation of EvenNet.☆20Oct 25, 2022Updated 3 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Dec 3, 2022Updated 3 years ago
- ☆23Feb 8, 2022Updated 4 years ago
- ☆29Jul 12, 2022Updated 3 years ago
- ☆10May 22, 2024Updated last year
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Jun 6, 2021Updated 4 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Apr 24, 2023Updated 2 years ago
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Aug 26, 2025Updated 6 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆143Jun 25, 2024Updated last year