quiver-team / torch-quiverLinks
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
☆301Updated last year
Alternatives and similar repositories for torch-quiver
Users that are interested in torch-quiver are comparing it to the libraries listed below
Sorting:
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆139Updated 4 months ago
- A list of awesome GNN systems.☆322Updated this week
- Large scale graph learning on a single machine.☆164Updated 5 months ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- Low-Level Graph Neural Network Operators for PyG☆209Updated this week
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆84Updated last month
- WholeGraph - large scale Graph Neural Networks☆104Updated 8 months ago
- ☆213Updated last year
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated 2 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆469Updated last year
- ☆35Updated 2 months ago
- ☆70Updated 4 years ago
- ☆47Updated 3 months ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆135Updated 3 years ago
- ☆46Updated 2 years ago
- Visualization tool for Graph Neural Networks☆253Updated 2 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆17Updated last year
- [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems☆22Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆491Updated 2 years ago
- Simple Distributed Deep Learning on TensorFlow☆133Updated last month
- A general-purpose, distributed graph random walk engine.☆109Updated 2 years ago
- Set of datasets for the deep learning recommendation model (DLRM).☆47Updated 2 years ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 2 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- ☆139Updated last year