rkwitt / gboostLinks
A fork of Sebastian Nowozin's and Koji Tsuda's gboost code
☆17Updated 12 years ago
Alternatives and similar repositories for gboost
Users that are interested in gboost are comparing it to the libraries listed below
Sorting:
- Large Scale Graphical Model☆24Updated 7 years ago
- ☆36Updated 7 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- ☆16Updated 5 years ago
- Graph kernels☆56Updated 2 months ago
- 1) SimRank (single pair query, parallel all pair computation / dynamic updates) - by Yue Wang (https://github.com/KeithYue) and Yulin Che…☆14Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of ma…☆119Updated 2 years ago
- ☆25Updated 5 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 5 years ago
- ☆14Updated 2 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- Community Detection Based on Structure and Content☆12Updated 7 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆75Updated 3 years ago
- Code for ICML2019 paper: Learning to Route in Similarity Graphs☆61Updated last year
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- A Parallel Graphlet Decomposition Library for Large Graphs☆88Updated 6 years ago
- ☆15Updated 4 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆57Updated 7 years ago
- ☆24Updated 3 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- Reference implementations of basic and advanced hypergraph algorithms.☆49Updated 2 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 3 years ago
- Scaling Up Subgraph Query Processing with Efficient Subgraph Matching by Shixuan Sun and Dr. Qiong Luo☆18Updated 7 years ago
- ☆56Updated 6 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- LEMON: A local algorithm for fast, high-precision overlapping community detection☆55Updated 8 years ago
- Differentiable Product Quantization for End-to-End Embedding Compression.☆64Updated 3 years ago
- A package for computing Graph Kernels☆102Updated 2 years ago