{"url":"/method/neurotactic","slug":"neurotactic","name":"NeuroTactic","full_name":"NeuroTactic","full_name_withheld":false,"description_markdown":"**NeuroTactic** is a model for theorem proving which leverages [graph neural networks](https://paperswithcode.com/methods/category/graph-models) to represent the theorem and premises, and applies graph contrastive learning for pre-training. Specifically, premise selection is designed as a pretext task for the graph contrastive learning approach. The learned representations are then used for the downstream task, tactic prediction","description_state":"present","introduced_year":null,"introduced_by":{"title":"Graph Contrastive Pre-training for Effective Theorem Reasoning","paper":"/paper/graph-contrastive-pre-training-for-effective","first_author":"Zhaoyu Li","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/graph-contrastive-pre-training-for-effective"},"source":{"url":"https://arxiv.org/abs/2108.10821v1","title":"Graph Contrastive Pre-training for Effective Theorem Reasoning","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Theorem Proving Models","url":"/methods/category/theorem-proving-models","pwc_aliases":[]},{"area":"Graphs","area_id":"graphs","collection":"Graph Models","url":"/methods/category/graph-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/graph-contrastive-pre-training-for-effective","title":"Graph Contrastive Pre-training for Effective Theorem Reasoning","date":"2021-08-24","arxiv_id":"2108.10821","n_code_links":0,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/automated-theorem-proving","name":"Automated Theorem Proving","papers":1},{"task":"/task/contrastive-learning","name":"Contrastive Learning","papers":1},{"task":"/task/representation-learning","name":"Representation Learning","papers":1}],"tasks_shown":3,"n_tasks":3,"usage_by_year":[{"year":"2021","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/neurotactic"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}