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:
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time☆41Updated last year
- Code for our paper "Binary Graph Neural Networks", CVPR 2021☆37Updated 4 years ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆36Updated last year
- A reading list for deep graph learning acceleration.☆248Updated last month
- ICLR 2021☆48Updated 4 years ago
- ☆10Updated last year
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆37Updated 3 years ago
- PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"☆14Updated 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
- A DGL implementation of "DeeperGCN: All You Need to Train Deeper GCNs".☆9Updated 4 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆25Updated 3 years ago
- (SparseBERT) Rethinking Network Pruning -- under the Pre-train and Fine-tune Paradigm (NAACL'21)☆8Updated 3 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding☆114Updated 2 years ago
- Implementation for paper "BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing"☆12Updated 3 years ago
- ☆36Updated 3 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
- [ICLR 2024] heterogeneous MoE: mixture of weak & strong experts on graphs https//openreview.net/pdf?id=wYvuY60SdD☆16Updated 3 months ago
- [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…☆18Updated 4 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- This is an unofficial implementation of the paper - LEARNED STEP SIZE QUANTIZATION at ICLR 2020☆8Updated 4 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago
- Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines☆20Updated 2 years ago
- [AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor☆31Updated 2 years ago
- ☆16Updated 3 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
- Artifact of the MLSys25' paper "GRAPH LEARNING AT SCALE: CHARACTERIZING AND OPTIMIZING PRE-PROPAGATION GNNS"☆14Updated 3 months ago
- [NeurIPS 2020] "FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training" by Yonggan Fu, Ha…☆11Updated 3 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- ☆16Updated 2 years ago
- Graph Neural Networks for Predicting Circuit Reliability Degradation. TCAD 2022☆22Updated 2 years ago