xnuohz / DeeperGCN-dglLinks
A DGL implementation of "DeeperGCN: All You Need to Train Deeper GCNs".
☆9Updated 4 years ago
Alternatives and similar repositories for DeeperGCN-dgl
Users that are interested in DeeperGCN-dgl are comparing it to the libraries listed below
Sorting:
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆84Updated last month
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆128Updated last year
- ☆13Updated 4 years ago
- ☆139Updated last year
- ☆15Updated last year
- ☆10Updated 3 years ago
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆28Updated last year
- [ICLR 2024] heterogeneous MoE: mixture of weak & strong experts on graphs https//openreview.net/pdf?id=wYvuY60SdD☆17Updated 4 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Updated last year
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆46Updated 2 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆66Updated last year
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year
- ☆21Updated 3 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆155Updated last year
- A paper collection about automated graph learning☆98Updated last year
- official code for I2GNN.☆13Updated 2 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆38Updated 2 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆17Updated last year
- A reading list for deep graph learning acceleration.☆249Updated 2 weeks ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆46Updated last year
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- ☆12Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- an implementation of FastGCN with pytorch☆51Updated 5 years ago
- [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks☆72Updated last year
- ☆22Updated 2 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆21Updated 3 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago