Reachability-Aware Pretraining for Efficient Target-Oriented Path Exploration in
Temporal Knowledge Graph (TKG) reasoning under the extrapolation setting focuses on forecasting future time-stamped events (facts) from historical data in a temporal knowledge graph. Existing approaches, reinforcement learning (RL)-based mu
https://arxiv.org/abs/2607.14886v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Outside
Outside your target regions — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder ↑ improving
Traction → stable
Idea vs market ↓ declining
▸ Add / edit details
Correct facts used on the next screening or memo.
People
C
Chien-Liang Liu
1.0
low confidence
T
Tsao-Lun Chen
2.0
low confidence
C
Chien‐Liang Liu
TW
7.0
low confidence