LukeLIN-web / GNNlearningLinks
My learning notebook, including pytorch, profiling and so on.
☆13Updated last week
Alternatives and similar repositories for GNNlearning
Users that are interested in GNNlearning are comparing it to the libraries listed below
Sorting:
- ☆139Updated 2 years ago
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆47Updated 2 years ago
- Schedule for learning on graphs seminar☆109Updated 2 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆155Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 9 months ago
- A multi-backend graph learning library.☆241Updated last month
- Must-read papers on graph foundation models (GFMs)☆337Updated last month
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆130Updated last year
- A paper collection about automated graph learning☆97Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆165Updated this week
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆17Updated 9 months ago
- ☆13Updated 4 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆84Updated 3 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆46Updated last year
- Accompanied repositories for our paper Graph foundation model☆217Updated 10 months ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆98Updated 10 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆214Updated 3 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆230Updated last year
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆15Updated last year
- 动态图嵌入方法学习☆14Updated 3 years ago
- Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github …☆58Updated last year
- A Survey of Learning from Graphs with Heterophily☆148Updated 6 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆259Updated last year