giuliacassara / awesome-hypergraph-learningLinks
A curated list of awesome Hypergraph Learning frameworks, libraries and software.
☆23Updated 2 years ago
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.☆72Updated 2 years ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆18Updated 2 years ago
- A list for GNNs and related works.☆101Updated 3 months ago
- Code for our paper "Attending to Graph Transformers"☆91Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆198Updated 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
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆97Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 8 months ago
- Temporal Graph Benchmark project repo☆236Updated 3 weeks ago
- List of papers on NeurIPS2023☆89Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆42Updated 5 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆89Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆99Updated 11 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆80Updated 5 months ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆103Updated 2 years ago
- ☆48Updated last year
- Dynamic Graph Benchmark☆83Updated 2 years ago
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆34Updated 3 years ago
- here you can find the material used for our Tutorials☆101Updated 3 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆120Updated last year
- ☆138Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆63Updated last year
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆71Updated 4 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆32Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- ☆14Updated 4 years ago
- A list of recent papers about Link Prediction.☆108Updated last month
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆147Updated 8 months ago