giuliacassara / awesome-hypergraph-learningLinks
A curated list of awesome Hypergraph Learning frameworks, libraries and software.
☆22Updated last year
Alternatives and similar repositories for awesome-hypergraph-learning
Users that are interested in awesome-hypergraph-learning are comparing it to the libraries listed below
Sorting:
- Collection of papers relating data-driven higher-order graph/networks researches.☆70Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆17Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- ☆27Updated 5 months ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆80Updated 3 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆116Updated last year
- Graph Positional and Structural Encoder☆51Updated 5 months ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆26Updated 2 years ago
- A library for subgraph GNN based on pyg☆41Updated 6 months ago
- ☆47Updated 10 months ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated 2 years ago
- List of papers on NeurIPS2023☆89Updated last year
- ☆19Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆87Updated 7 months ago
- Code for our paper "Attending to Graph Transformers"☆88Updated last year
- ☆59Updated 10 months ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆189Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 7 months ago
- Graph Self-Supervised Learning Toolkit☆35Updated 3 months ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆43Updated 2 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 10 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆69Updated last year
- Dynamic Graph Benchmark☆81Updated 2 years ago
- ☆20Updated 4 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆68Updated 4 years ago
- Temporal Graph Analysis with TGX☆26Updated last month