https://github.com/mberr/ea-sota-comparison
공식 코드A Critical Assessment of State-of-the-Art in Entity Alignment
Papers with Code 아카이브
Knowledge Graph Completion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 7
- 보존된 평가 기록
- 17
Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mberr/rank-based-evaluation
공식 코드On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods
https://github.com/mbrockmeier/KnowledgeGraphOnDemand
공식 코드On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpedia
https://github.com/mbzuai-nlp/fire
공식 코드FIRE: Fact-checking with Iterative Retrieval and Verification
https://github.com/mbzuai-oryx/palo
공식 코드https://github.com/mbzuai-oryx/xraygpt
공식 코드XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models
https://github.com/mccodeai/mccoder
공식 코드MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification
https://github.com/mcg-nju/deqdet
공식 코드https://github.com/mcgill-nlp/logicalknowedit
공식 코드Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness
https://github.com/mcgrche/LetsPi--Planning-Safety-Trajectories-with-Dual-Phase-Physics-Informed-LLM
공식 코드https://github.com/md-k-sarker/KG-Cmpl-dataset
공식 코드https://github.com/meaningful96/satkgc
공식 코드https://github.com/measure-infinity/mulan-code
공식 코드MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object Diffusion
https://github.com/med-air/picg2scoring
공식 코드https://github.com/med-llm/tcm-llm-overrely-on-names
공식 코드https://github.com/medfound/medfound
공식 코드https://github.com/mediabrain-sjtu/ming
공식 코드https://github.com/medicinetoken/medical-graph-rag
공식 코드https://github.com/medinaandresel/eomqa
공식 코드Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs
https://github.com/meettyj/gnp
공식 코드https://github.com/megagonlabs/cypherbench
공식 코드CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
https://github.com/megagonlabs/rjdb
공식 코드Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks
https://github.com/mehdiazarafza/uav-rag
공식 코드https://github.com/meiru-cam/AttentionInstruction
공식 코드Attention Instruction: Amplifying Attention in the Middle via Prompting
https://github.com/melih-unsal/demogpt
공식 코드https://github.com/memberre/asyncdriver
공식 코드Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
https://github.com/memexproject/memex-kg
공식 코드Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding
https://github.com/mengdanzhu/cross-modal-rag
공식 코드Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation
https://github.com/menggehe/DRAW
공식 코드https://github.com/mengxiayu/llmsuperweight
공식 코드https://github.com/mennafateen/modular-asas-f-rag
공식 코드Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with Feedback
https://github.com/mercatorhq/dubo-sql
공식 코드Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL
https://github.com/merialdo/research.lpca
공식 코드Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
https://github.com/meshinfra/waferllm
공식 코드https://github.com/mfurkanilaslan/vg-tvp
공식 코드VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting
https://github.com/mguo-lab/llm4sustainableprotein
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.