snap-research / LargeGTLinks
Graph Transformers for Large Graphs
☆21Updated last year
Alternatives and similar repositories for LargeGT
Users that are interested in LargeGT are comparing it to the libraries listed below
Sorting:
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 2 years ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆22Updated 2 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆54Updated 2 years ago
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 3 years ago
- ☆11Updated 11 months ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- ☆19Updated 3 years ago
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆27Updated 3 months ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated 3 months ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆15Updated last year
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆13Updated last year
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 3 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper☆13Updated 3 years ago
- ☆16Updated last year
- ☆15Updated 2 years ago
- ☆12Updated 3 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 3 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated last year
- ☆13Updated 4 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Official Implementation of Graph Mixer Networks☆20Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- 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
- Graph Positional and Structural Encoder☆52Updated 5 months ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆24Updated 2 years ago
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Updated last year