ScienceToStartup
TrendsTopicsSavedArticlesChangelogCareersAbout

113 Cherry St #92768

Seattle, WA 98104-2205

Backed by Research Labs
All systems operational

Product

  • Dashboard
  • GitHub Velocity
  • Workspace
  • Build Loop
  • Research Map
  • Trends
  • Topics
  • Articles

Enterprise

  • TTO Dashboard
  • Scout Reports
  • RFP Marketplace
  • API

Resources

  • All Resources
  • Benchmark
  • Database
  • Dataset
  • Calculator
  • Glossary
  • State Reports
  • Industry Index
  • Directory
  • Templates
  • Alternatives
  • Changelog
  • FAQ
  • Docs

Company

  • About
  • Careers
  • For Media
  • Privacy Policy
  • Legal
  • Contact

Community

  • Open Source
  • Community
ScienceToStartup

Copyright © 2026 ScienceToStartup. All rights reserved.

Privacy Policy|Legal
  1. Home
  2. Signal Canvas
  3. THOR: Inductive Link Prediction over Hyper-Relational Knowle
← Back to Paper

THOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs

Stale19d ago
Export BriefOpen in Build LoopConnect with Author
View PDF ↗
Viability
0.0/10

Compared to this week’s papers

Stale evidence

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: failed

Freshness: stale

Source paper: THOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs

PDF: https://arxiv.org/pdf/2602.05424v1

Source count: 0

Coverage: 33%

Last proof check: 2026-03-17T19:46:04.153Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

THOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs

Overall score: 8/10
Lineage: ff60f05e1adc…
Cmd/Ctrl+K
Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-03-17T19:46:04.153Z

Freshness: stale

Proof: failed

Repo: missing

References: 0

Sources: 0

Coverage: 33%

Missingness
  • - repo_url
  • - references
  • - distribution_readiness_scores
  • - paper_extraction_scorecards
Unknowns
  • - distribution readiness has not been computed yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Starting…

Dimensions overall score 8.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Claim extraction is still pending for this paper. Check back after the next analysis run.

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Keep exploring

Builds On This
Higher-Order Knowledge Representations for Agentic Scientific Reasoning
Score 7.0down
Builds On This
HugRAG: Hierarchical Causal Knowledge Graph Design for RAG
Score 5.0down
Builds On This
MAGE-KT: Multi-Agent Graph-Enhanced Knowledge Tracing with Subgraph Retrieval and Asymmetric Fusion
Score 6.0down
Builds On This
Plain Transformers are Surprisingly Powerful Link Predictors
Score 5.0down
Builds On This
TIEG-Youpu Solution for NeurIPS 2022 WikiKG90Mv2-LSC
Score 4.0down
Prior Work
KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning
Score 8.0stable
Prior Work
Orion-RAG: Path-Aligned Hybrid Retrieval for Graphless Data
Score 8.0stable
Competing Approach
SynergyKGC: Reconciling Topological Heterogeneity in Knowledge Graph Completion via Topology-Aware Synergy
Score 6.0down

Startup potential card

Startup potential card preview
Share on XLinkedIn

Related Resources

  • How can knowledge graphs improve code evolution and API adaptation with LLMs?(question)
  • What are the advantages of using knowledge graphs for code generation?(question)
  • What are the best practices for integrating knowledge graphs into code generation pipelines?(question)

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Recommended Stack

PyTorchML Framework
NVIDIA CUDAGPU
TensorRTInference
ONNXModel Format
VerilogHardware

Startup Essentials

Render

Deploy Backend

Railway

Full-Stack Deploy

Supabase

Backend & Auth

Vercel

Deploy Frontend

Firebase

Google Backend

Hugging Face Hub

ML Model Hub

Banana.dev

GPU Inference

Antigravity

AI Agent IDE

MVP Investment

$9K - $13K
6-10 weeks
Engineering
$8,000
GPU Compute
$800
SaaS Stack
$300
Domain & Legal
$100

6mo ROI

0.5-1x

3yr ROI

6-15x

GPU-heavy products have higher costs but premium pricing. Expect break-even by 12mo, then 40%+ margins at scale.

Talent Scout

W

Weijian Yu

University of Macau

Y

Yuhuan Lu

Khalifa University

D

Dingqi Yang

University of Macau

Find Similar Experts

Knowledge experts on LinkedIn & GitHub