pyyush / GraphML
PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"
☆15Updated last year
Alternatives and similar repositories for GraphML:
Users that are interested in GraphML are comparing it to the libraries listed below
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆53Updated last year
- Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.☆24Updated 10 months ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆35Updated 2 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 3 years ago
- [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…☆18Updated 3 years ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆35Updated last year
- Repo for the IISWC 2018 submission☆9Updated 2 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆31Updated last year
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆64Updated last year
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding☆114Updated last year
- including compiler to encode DGL GNN model to instructions, runtime software to transfer data and control the accelerator, and hardware v…☆12Updated last year
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆61Updated 2 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time☆40Updated 10 months ago
- ☆10Updated 3 years ago
- ☆43Updated 3 weeks ago
- ☆73Updated 3 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆65Updated last year
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆18Updated last year
- Code for our paper "Binary Graph Neural Networks", CVPR 2021☆37Updated 3 years ago
- Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…☆30Updated 2 years ago
- ☆16Updated 3 years ago
- ☆46Updated 2 years ago
- ICLR 2021☆46Updated 3 years ago
- ☆9Updated 2 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆36Updated 7 months ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆45Updated last year
- ☆36Updated 8 months ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆39Updated 11 months ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆11Updated 10 months ago