asarigun / GraphMixerNetworksLinks
Official Implementation of Graph Mixer Networks
☆20Updated 2 years ago
Alternatives and similar repositories for GraphMixerNetworks
Users that are interested in GraphMixerNetworks are comparing it to the libraries listed below
Sorting:
- Graph Transformers for Large Graphs☆22Updated last year
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆19Updated 2 years ago
- Edge-Augmented Graph Transformer☆51Updated 3 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last month
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆23Updated 2 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 3 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆63Updated 3 years ago
- ☆11Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90Updated last year
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆28Updated 6 months ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 3 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆83Updated 4 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆50Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Updated 3 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Updated 4 years ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆57Updated 2 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆15Updated last year
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 3 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- ☆32Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆91Updated 2 years ago
- 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
- Graph Positional and Structural Encoder☆54Updated last year
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆49Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 3 years ago
- ☆14Updated 5 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆39Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆72Updated last year
- Graph Masked Autoencoders☆27Updated 3 years ago