asarigun / GraphMixerNetworks
Official Implementation of Graph Mixer Networks
☆20Updated last year
Alternatives and similar repositories for GraphMixerNetworks:
Users that are interested in GraphMixerNetworks are comparing it to the libraries listed below
- Graph Transformers for Large Graphs☆21Updated 11 months ago
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆27Updated last week
- 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
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆17Updated last year
- Edge-Augmented Graph Transformer☆50Updated 2 years ago
- ☆31Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆14Updated 10 months ago
- Graph Positional and Structural Encoder☆48Updated 2 months 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
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆21Updated last year
- ☆13Updated 4 years ago
- ☆18Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- ☆39Updated last year
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 2 years ago
- ☆27Updated 3 months ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated 2 weeks ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆59Updated 2 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆20Updated last year
- ☆24Updated last year
- Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization☆39Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆56Updated 2 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆80Updated 3 years ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆22Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 8 months ago
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆21Updated 11 months ago
- Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)☆9Updated 9 months ago
- ☆20Updated last year