| dawenl/cofactor |
155 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| CoFactor: Regularizing Matrix Factorization with Item Co-occurrence |
| Praful932/Kitabe |
127 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
HTML |
| Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩 |
| nesl/nlp_adversarial_examples |
112 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Implementation code for the paper "Generating Natural Language Adversarial Examples" |
| benedekrozemberczki/BANE |
86 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018). |
| benedekrozemberczki/ASNE |
76 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018). |
| theSage21/lorentz-embeddings |
62 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
mit |
Python |
| Embed arbitrary graphs in Hyperbolic space |
| GemsLab/REGAL |
54 |
|
0 |
0 |
about 5 years ago |
0 |
|
7 |
mit |
Python |
| Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings |
| thunlp/sememe_prediction |
52 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Codes for Lexical Sememe Prediction via Word Embeddings and Matrix Factorization (IJCAI 2017). |
| benedekrozemberczki/TADW |
50 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15). |
| NLPrinceton/text_embedding |
48 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| utility class for building/evaluating document representations |
