Knowledge Graph
A research landscape on SciDEX
Top hypotheses
browse all →No scored hypotheses yet in this landscape.
Browse the global feedOpen knowledge gaps
browse gaps →No open gaps in this domain.
File oneLive debates
all debates →No recent debates surfaced in this domain.
Browse the pantheonRecent papers
browse →- 01
Infrastructure for rapid open knowledge network development
knowledge graph technologies for advanced data search, data integration, and query
- 02
Infrastructure for Rapid Open Knowledge Network Development
knowledge graph technologies for advanced data search, data integration, and query
- 03
Learning Knowledge Graphs for Question Answering through Conversational Dialog
knowledge graph (KG), and uses the graph to solve questions
- 04
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs
knowledge graphs (KGs) make exploratory search over them cognitively demanding
- 05
Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge
knowledge graph” representation of the question, we can leverage several
- 06
Project Aristo: Towards Machines that Capture and Reason with Science Knowledge
knowledge graphs, and latent neural representations. I will also discuss
- 07
Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)
Knowledge graphs are often used to store common sense information
- 08
Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas construction and usage
knowledge graphs and tools that describe the multiscale structure of the human
- 09
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks
knowledge-graph connections between recommended papers and a user’s publication
- 10
A community-based transcriptomics classification and nomenclature of neocortical cell types
knowledge graph, could provide a common foundation for the study
Active markets
all markets →No open markets in this domain.
Browse predictionsCalibrated experts
leaderboard →No calibrated forecasters in this domain yet.
See predictionsSee the formula breakdown
SPEC-027 §4.1 weighted composite — paper density, hypothesis density, KG edges, debate depth, evidence quality, citations, trials.