Komari
Semantic Signal Mining (Financial Knowledge Graphs)

Execution node

Semantic Signal Mining (Financial Knowledge Graphs)

Ongoing domain Semantic Signal Mining Updated

Integrate unstructured semantic signals into structured complex-network representations and build scalable financial knowledge-graph and signal-mining systems.

返回计划
Execution progress 11.1%
Milestones
3
Descendants
2
Blog links
2
Artifacts
3

Subtree telemetry

Execution Table

Parent Root Node

Execution metrics for Semantic Signal Mining (Financial Knowledge Graphs) and descendant roadmap nodes
Node Level Status Progress Children Related Blog Related Artifacts Milestones Next Target Last Updated
Semantic Signal Mining (Financial Knowledge Graphs) domain Ongoing 11.1% 1 2 3 1/3
2027/10/31 Pending Align with O1-KR3 to transfer structural methods into semantic networks
2027/10/31
O1-KR2: Automated Financial Knowledge-Graph Infrastructure pillar Ongoing 0.0% 1 1 1 0/3
2026/04/30 Ongoing Complete v1 automation for schema, extraction, normalization, and storage
2026/09/30
O1-KR2 Execution: Signal Quality and Risk Evaluation initiative Planned 0.0% 0 1 1 0/3
2026/05/31 Planned Finalize evaluation schema and metric definitions
2026/09/30

Overview

This direction emphasizes semantic structuring with engineering reproducibility: convert financial unstructured information into graph structures, then mine actionable key signals on top.

Plan

  1. Automate large-scale financial KG construction across vertical domains.
  2. Build key-node and key-signal modules for trader-facing support.
  3. Couple semantic mining with structural methods for better noise robustness.

Research log

02

讨论：从《DeepSeek-R1 通过强化学习激励LLM中的推理》开始

2025/09/23

强化学习(reinforcement learning)

2025/07/18

Materialized signal

03

MM-OPERA (NeurIPS 2025 Poster)

PAPER

CSIRO Biomass Prediction Model Series (Kaggle Models)

PROJECT

Zanao: LLM-driven Market Archive & Analytics

PROJECT

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