pyrobits / DGCluster
☆12Updated last month
Alternatives and similar repositories for DGCluster:
Users that are interested in DGCluster are comparing it to the libraries listed below
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆40Updated 3 weeks ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆55Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated 11 months ago
- ☆40Updated 2 years ago
- Gradient gating (ICLR 2023)☆53Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆76Updated last year
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 3 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated last year
- List of papers on NeurIPS2023☆89Updated last year
- All graph/GNN papers accepted at NeurIPS 2024.☆77Updated 4 months ago
- ☆45Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆44Updated 7 months ago
- ☆42Updated 7 months ago
- 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
- A library for subgraph GNN based on pyg☆41Updated 4 months ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆17Updated last year
- ☆20Updated 4 years ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆18Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆96Updated 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
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attri…☆69Updated last month
- ☆27Updated 2 months ago
- Explanation method for Graph Neural Networks (GNNs)☆66Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 9 months ago
- Rex Ying's Ph.D. Thesis, Stanford University☆43Updated 2 years ago
- Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…☆54Updated last year
- Collection of papers relating data-driven higher-order graph/networks researches.☆69Updated 2 years ago