YuanchenBei / Awesome-Large-Scale-Graph-LearningLinks
A curated list of papers on large-scale graph learning.
☆27Updated last year
Alternatives and similar repositories for Awesome-Large-Scale-Graph-Learning
Users that are interested in Awesome-Large-Scale-Graph-Learning are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated 2 years ago
- An Empirical Evaluation of Temporal Graph Benchmark☆36Updated 2 years ago
- Multilevel graph coarsening algorithm with spectral and cut guarantees☆92Updated 5 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆262Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆130Updated last year
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 6 months ago
- ☆138Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆80Updated 4 months ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆58Updated 11 months ago
- ☆29Updated 4 years ago
- Implementation of paper "D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching"☆12Updated last year
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆63Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated last month
- A paper collection about automated graph learning☆97Updated last year
- ☆118Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 4 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆35Updated 4 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆57Updated 2 years ago
- ☆136Updated 2 years ago
- ☆61Updated 4 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆54Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- This is a sample implementation of "Billion-scale Network Embedding with Iterative Random Projection" (ICDM 2018).☆18Updated 5 years ago
- ☆138Updated 2 years ago