[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
-
Updated
Sep 15, 2020 - Python
[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
Inductive relation prediction by subgraph reasoning, ICML'20
30 Semi-Supervised Learning Algorithms
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
Source code for the SIGIR 2022 paper "Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding"
[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
Algorithms for induction of phonological grammars and sets of underlying forms from morphophonological paradigms. (In progress.)
Inductive Haskell
An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)
A TREPAN (neural network inductive learning algorithm) implementation in java.
Object detection using SSL techniques. This is a semester project done in Summer 2021 as part of our coursework under the Faculty of Computer Science department at Otto-von-Guericke University, Magdeburg Germany.
AttrE2vec: Unsupervised Attributed Edge Representation Learning
Add a description, image, and links to the inductive-learning topic page so that developers can more easily learn about it.
To associate your repository with the inductive-learning topic, visit your repo's landing page and select "manage topics."