TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
Results and benchmarks
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs presents a algorithm approach for computer science.
Benchmark evidence is limited
Evidence graph: 3 refs, 3 links.
Utility signals: depth 65/100, grounding 75/100, status medium.
Implementation
No direct implementation yet
Maintained implementation evidence is not confirmed for this paper yet.
Use the implementation status and reproduction sections for the current action plan.
No verified maintained repo yet
There is no verified maintained implementation yet. Use this baseline plan to decide whether to prototype now or defer.
- No maintained paper-verified implementation was found; start with the closest related repositories below.
- Compare repo methods against the paper equations/algorithm before trusting metrics.
- Create a minimal baseline implementation from the paper and use adjacent repos as references.
Time to first repro: a few days
doujiang-zheng/Awesome-Graph-Learning-Papers-List is the closest maintained adjacent implementation (Matches contextual method/domain keyword: graph). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 248 GitHub stars.
- Adjacent implementations are not paper-verified
- Recommended repository is adjacent and not paper-verified.
Reproduction readiness
No repo
No verified implementation available
- No maintained repository has been identified for this paper. Check adjacent implementations or HF artifacts below.
Hardware requirements
- Expect multi-day setup/compute for meaningful reproduction based on current guidance.
Validation caveat
Repositories and ecosystem
Closest related implementations
These are not paper-verified. Use them as reference points when no direct implementation is available.
- doujiang-zheng/Awesome-Graph-Learning-Papers-List Adjacent · Confidence: Medium · 248 stars
Matches contextual method/domain keyword: graph
- HaitaoMao/Awesome_Graph_Foundation_Models Adjacent · Confidence: Medium · 237 stars
Matches contextual method/domain keyword: graph
No additional verified repositories beyond the primary recommendation.
These repositories had low-confidence matching signals and are hidden by default.
- shenyangHuang/TGB
Confidence: Low · 262 stars
Hugging Face artifacts
No trustworthy direct or curated related Hugging Face artifacts were found yet. Use targeted searches to quickly locate candidate models, datasets, and demos.
Models
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Research context
7
Citations
0
References
Tasks
Computer science, Benchmark (surveying), Theoretical computer science, Knowledge graph, Graph, Task (project management), Feature (linguistics), Generalization
Methods
Algorithm
Domains
Artificial intelligence, Mathematics, Machine learning
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