xptree / LightNELinks
☆24Updated 3 years ago
Alternatives and similar repositories for LightNE
Users that are interested in LightNE are comparing it to the libraries listed below
Sorting:
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization☆132Updated 3 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆84Updated last month
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- A Broader Picture of Random-walk Based Graph Embedding☆30Updated 4 years ago
- A general-purpose, distributed graph random walk engine.☆109Updated 2 years ago
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"☆54Updated last year
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Light-weight GPU kernel interface for graph operations☆15Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆113Updated 4 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 2 years ago
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆27Updated 4 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆135Updated 3 years ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding☆114Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Code for our TKDE paper "Understanding WeChat User Preferences and “Wow” Diffusion"☆20Updated 11 months ago
- Large scale graph learning on a single machine.☆164Updated 5 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆75Updated 2 years ago
- ☆172Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆301Updated last year
- ☆213Updated last year
- FORA: Simple and Effective Approximate Single-Source Personalized Pagerank☆31Updated 4 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆187Updated 5 years ago
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆139Updated 3 months ago
- Large Scale Graphical Model☆24Updated 6 years ago
- Graph Partitoning Using Graph Convolutional Networks☆65Updated 3 years ago