bywmm / Bi-GCNLinks
Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.
☆26Updated last year
Alternatives and similar repositories for Bi-GCN
Users that are interested in Bi-GCN are comparing it to the libraries listed below
Sorting:
- Code for our paper "Binary Graph Neural Networks", CVPR 2021☆37Updated 4 years ago
- A reading list for deep graph learning acceleration.☆256Updated 3 months ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆36Updated 2 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time (ICLR'24)☆42Updated last year
- PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"☆14Updated 2 years ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆36Updated 3 years ago
- ☆11Updated 2 years ago
- ICLR 2021☆48Updated 4 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated 2 years ago
- ☆36Updated 3 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆67Updated 2 years ago
- Implementation for paper "BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing"☆12Updated 3 years ago
- [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…☆17Updated 4 years ago
- Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines☆22Updated 3 years ago
- An end-to-end GCN inference accelerator written in HLS☆18Updated 3 years ago
- [ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)☆41Updated 4 years ago
- Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs (MLSys'25)☆17Updated 7 months ago
- [ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)☆30Updated last year
- [Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."☆24Updated 2 years ago
- [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks☆76Updated 2 years ago
- FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations☆95Updated 4 years ago
- Graph Neural Networks for Predicting Circuit Reliability Degradation. TCAD 2022☆24Updated 2 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Updated 3 years ago
- HLSyn benchmark for paper "Towards a Comprehensive Benchmark for FPGA Targeted High-Level Synthesis"☆29Updated last year
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 4 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing☆51Updated last year
- ☆16Updated 2 years ago