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.☆71Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- 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
- ☆59Updated 11 months ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆18Updated last year
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆36Updated last year
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆61Updated 2 months ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆142Updated 5 months ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆69Updated 4 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆46Updated 11 months ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 8 months ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- CIKM2022: source code for "hypergraph learning with line expansion" paper☆20Updated 2 years ago
- Temporal Graph Benchmark project repo☆227Updated last month
- here you can find the material used for our Tutorials☆101Updated 3 years ago
- List of papers on NeurIPS2023☆89Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆192Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆118Updated last year
- [EMNLP 2024] HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs☆22Updated 3 months ago
- TGB baselines for dynamic link property prediction☆23Updated 6 months ago
- A list for GNNs and related works.☆95Updated 2 weeks ago
- Published as a journal paper at DAMI 2023☆16Updated 5 months ago
- ☆20Updated 3 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆96Updated last year
- A list of recent papers about Link Prediction.☆94Updated this week
- ☆82Updated 3 years ago
- ☆49Updated 2 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year