quiver-team / torch-quiverLinks
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
☆300Updated 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.☆138Updated 2 months ago
- A list of awesome GNN systems.☆316Updated this week
- Low-Level Graph Neural Network Operators for PyG☆200Updated last week
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- ☆210Updated last year
- WholeGraph - large scale Graph Neural Networks☆104Updated 7 months ago
- Large scale graph learning on a single machine.☆162Updated 4 months ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆470Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆82Updated last week
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆489Updated 2 years ago
- Visualization tool for Graph Neural Networks☆251Updated 2 years ago
- A general-purpose, distributed graph random walk engine.☆110Updated last year
- ☆138Updated last year
- ☆35Updated 3 weeks ago
- ☆70Updated 4 years ago
- ☆354Updated last year
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆134Updated 3 years ago
- PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Commun…☆44Updated last year
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year
- ☆46Updated 2 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- ☆45Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆351Updated 2 weeks ago
- A PyTorch Graph Neural Network Library☆375Updated 3 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- Python library assists deep learning on graphs☆558Updated last year
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated 2 years ago