Activity over time
Daily event counts in the loaded window
Line chart, 534 days from 2023-11-22 to 2025-05-08. Pushes: 67 total, peak 54 in a day. Pull requests: 27 total, peak 9 in a day. Issues: 149 total, peak 85 in a day. Comments: 5 total, peak 2 in a day. Stars: 25 total, peak 7 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| laewonJeong | 71 | 18 | 9 | 2 |
| msgils | 57 | 6 | 6 | 1 |
| 5win | 28 | 22 | 0 | 0 |
| Cow-Kite | 22 | 12 | 2 | 0 |
| dlwjdgns3415 | 16 | 1 | 2 | 0 |
| alstjs37 | 15 | 7 | 0 | 0 |
| d1354104 | 11 | 0 | 3 | 1 |
| ChoiJiHyeee | 9 | 0 | 1 | 0 |
| YisakH | 5 | 1 | 0 | 0 |
| jhojun | 5 | 0 | 0 | 1 |
| HanYoonSoo | 5 | 0 | 0 | 0 |
| seongyongbaek | 3 | 0 | 1 | 0 |
| minkyupark-code | 2 | 0 | 1 | 0 |
| laewon52 | 1 | 0 | 1 | 0 |
| Codingtoo | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#94msgils2025-02-10 01:42How to effectively debug training errors in GraphSAGE models?
- Issue#93msgils2025-02-10 01:42Can RDMA improve the scalability of GNN inference pipelines in production environments?
- Issue#90msgils2025-02-10 01:42Is there a performance benefit to using Kubernetes RDMA for graph partitioning workloads?
- Issue#91msgils2025-02-10 01:42What are the best practices for configuring RDMA in cloud environments for distributed GNNs?
- Issue#92msgils2025-02-10 01:42What are the trade-offs between neighbor sampling and full-batch training for large graphs?
- Issue#86msgils2025-02-10 01:42How to efficiently preprocess large graph datasets for PyG-based distributed training?
- Issue#87msgils2025-02-10 01:42Does PyTorch Geometric support dynamic graph updates during model training?
- Issue#88msgils2025-02-10 01:42Can GNNs be efficiently trained on multi-GPU systems using Apache Arrow for data storage?
- Issue#89msgils2025-02-10 01:42What are the potential issues when migrating GNN models from DGL to PyG?
- Issue#80msgils2025-02-10 01:42GPU Memory Problem
- Issue#81msgils2025-02-10 01:42Can RDMA be effectively integrated with Graph Neural Network (GNN) frameworks like GraphSAGE or DGL for distributed training?
- Issue#83msgils2025-02-10 01:42What are the challenges of applying RDMA in GNN workflows, especially during graph partitioning and data exchange phases?
- Issue#74msgils2025-02-10 01:42What are the current best practices for handling large-scale graphs in GNN training?
- Issue#75msgils2025-02-10 01:42What is the difference between pyg and dgl? What is easy to use?
- Issue#77msgils2025-02-10 01:42Can sampling be applied to other GNNs?
- Issue#78msgils2025-02-10 01:42What are the trade-offs of using approximate neighborhood sampling methods (e.g., GraphSAGE) in GNN training?
- Issue#71msgils2025-02-10 01:42Are there any limitations of using RDMA for small-scale distributed applications?
- Issue#72msgils2025-02-10 01:42What are the common pitfalls when applying GNNs to non-standard graph data, such as hypergraphs or bipartite graphs?
- Issue#73msgils2025-02-10 01:42Does pyg support distributed learning?
- Issue#63msgils2025-02-10 01:42What is MPI and how do I install it?
- Issue#64msgils2025-02-10 01:42Is it okay to run on CentOS?
- Issue#68msgils2025-02-10 01:42Doesn't Horovod support distributed machine learning training?
- Issue#61msgils2025-02-10 01:42Is it possible to apply RDMA to GNN or GraphSAGE?
- Releasemsgils2025-02-07 06:58Release_v1.0.0
- Pull request#85laewonJeong2024-12-15 14:36
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 25 stars here means stars gained during the window, not the repo's star count.