mims-harvard / fastGNMFLinks
Fast graph-regularized matrix factorization
☆20Updated 2 years ago
Alternatives and similar repositories for fastGNMF
Users that are interested in fastGNMF are comparing it to the libraries listed below
Sorting:
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆49Updated 2 years ago
- OhmNet: Representation learning in multi-layer graphs☆84Updated 5 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated 2 years ago
- Source code of "Segmented GRAPH-BERT Model"☆24Updated 5 years ago
- Hypernetwork Knowledge Graph Embeddings☆53Updated 6 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Updated 5 years ago
- Benchmark for Graph Embedding Methods☆48Updated 5 years ago
- Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”☆15Updated 6 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- A curated list of awesome graph representation learning.☆69Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 5 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Updated 5 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆28Updated 5 years ago
- ☆34Updated 7 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Updated 4 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 5 years ago
- ☆18Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆75Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago
- ☆35Updated 6 years ago
- mixed membership stochastic block model☆13Updated 9 years ago
- ☆174Updated 5 years ago