Genentech / GraphGUIDELinks
☆12Updated 2 years ago
Alternatives and similar repositories for GraphGUIDE
Users that are interested in GraphGUIDE are comparing it to the libraries listed below
Sorting:
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- A library for subgraph GNN based on pyg☆41Updated 6 months ago
- Graph Positional and Structural Encoder☆50Updated 4 months ago
- ☆20Updated last year
- ☆31Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆58Updated 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
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆23Updated 2 years ago
- Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).☆14Updated last year
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆13Updated 11 months ago
- ☆9Updated 9 months ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated last month
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- ☆21Updated last year
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Updated 11 months ago
- Graph Transformers for Large Graphs☆21Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆28Updated this week
- ☆28Updated 3 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆54Updated 2 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 11 months ago
- ☆18Updated last year
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 3 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆68Updated 2 years ago
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Code for our paper "Attending to Graph Transformers"☆87Updated last year
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- The repository implements the paper "Learning Graph Quantized Tokenizers for Transformers".☆11Updated 2 months ago