YuanchenBei / Awesome-Large-Scale-Graph-Learning
A curated list of papers on large-scale graph learning.
☆14Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for Awesome-Large-Scale-Graph-Learning
- Random Walk Graph Neural Networks☆51Updated 3 years ago
- Source code for our IEEE ICDM 2017 paper "Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs".☆11Updated 7 years ago
- Wasserstein Distance Graph Alignment☆19Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆47Updated last year
- The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".☆14Updated last year
- Multilevel graph coarsening algorithm with spectral and cut guarantees☆81Updated 4 years ago
- Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree bias…☆12Updated 7 months ago
- The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".☆17Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆114Updated 8 months ago
- ☆17Updated 6 months ago
- A collection of resources on attention-based graph neural networks☆53Updated 10 months ago
- The latest research papers on graph representation learning[图神经网络最新论文汇总,持续更新中,欢迎关注]☆11Updated 2 weeks ago
- Source code for paper "Prioritized Restreaming Algorithms for Balanced Graph Partitioning".☆14Updated 4 years ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆13Updated 8 months ago
- k-hop Graph Neural Networks☆18Updated 4 years ago
- ☆60Updated last year
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆14Updated last year
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- SDG: A Simplified and Dynamic Graph Neural Network, SIGIR 2021☆22Updated 2 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆33Updated 3 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆82Updated 8 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).☆22Updated 3 years ago
- Graph Partitoning Using Graph Convolutional Networks☆62Updated 2 years ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆87Updated 5 years ago
- This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).☆14Updated 7 months ago
- [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks☆58Updated last year
- Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation Pytorch☆8Updated 2 years ago
- Official code for "Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training" (CIKM'22).☆12Updated 8 months ago
- Deeper insights into graph convolutional networks for semi-supervised learning☆19Updated 5 years ago