Several knowledge graph representation algorithms implemented with pytorch
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Updated
Apr 11, 2018 - Python
Several knowledge graph representation algorithms implemented with pytorch
Language, Knowledge, Cognition
attention based joint model for intent detection and slot filling
Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179
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CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia
Interesting python codes to tackle simple machine/deep learning tasks
Tool for building graph-based hierarchical knowledge representation systems
Knowledge representation and expert systems examples
OKR: A Consolidated Open Knowledge Representation for Multiple Texts
Development of the Gellish Communicator reference application and tools for universal data exchange and data integration supporting Formal English and other Gellish formalized natural languages.
Knowledge Shaper. The editor to share your knowledge.
Zettelkasten visualization and stats🤩🗒
Fast Predicting Uceertainty over Knowledge Graph Embedding
Instance Neighbouring by using Knowledge
Distributed constraint satisfaction with recursive message-passing agents
Deep Learning on Academic Knowledge Graphs
K3D: a GPU‑native spatial knowledge architecture where humans and AI cohabit 3D “houses” of memory—unifying CAD‑like geometry, vector graphs, and neurosymbolic reasoning. Open specs + Apache‑2.0 reference code.
Conditional Associative Logic Memory
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