lushl9301 / Auto-Paper-Access
A simple script runs on Tampermonkey to easily access IEEE Xplore, ACM Digital Library, etc.
☆31Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Auto-Paper-Access
- Source code of "ThunderRW: An In-Memory Graph Random Walk Engine" published in VLDB'2021 - By Shixuan Sun, Yuhang Chen, Shengliang Lu, Bi…☆26Updated 3 years ago
- Fast Multiple Independent Random Number Sequences Generation on FPGAs☆14Updated 3 years ago
- Fast Parallel Probabilistic Graphical Model Learning and Inference [IPDPS'22, PPoPP'23, USENIX ATC'24]☆41Updated this week
- G3: A Programmable GNN Training System on GPU☆42Updated 4 years ago
- ☆16Updated 2 years ago
- Python library for data stream learning☆28Updated 2 months ago
- Accelerating Exact Constrained Shortest Paths on GPUs☆15Updated 3 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 2 years ago
- ☆37Updated 3 years ago
- ☆28Updated 4 years ago
- ☆18Updated 4 years ago
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 2 years ago
- Source code of "PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration", published in SIGMOD'2021 - By Shixuan Sun, Yuhang Chen…☆14Updated 3 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆35Updated 4 months ago
- Arya: Arbitrary Graph Pattern Mining with Decomposition-based Sampling☆13Updated last year
- ☆33Updated 5 years ago
- ☆45Updated 2 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆63Updated last year
- FlashMob is a shared-memory random walk system.☆31Updated last year
- GraphMineSuite (GMS): a benchmarking suite for graph mining algorithms such as graph pattern matching or graph learning☆25Updated 3 years ago
- ☆44Updated 2 years ago
- ☆26Updated 5 months ago
- An efficient storage system for concurrent graph processing☆10Updated 3 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆77Updated 3 years ago
- A Comprehensive Benchmark Suite for Graph Computing☆67Updated 5 years ago
- ☆23Updated 2 years ago
- A Factored System for Sample-based GNN Training over GPUs☆42Updated last year
- Set of datasets for the deep learning recommendation model (DLRM).☆41Updated last year
- ☆12Updated 2 months ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆23Updated last year