https://github.com/jingsonglv/CFG
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/joe-prog/https-github.com-facebookresearch-ParlAI
https://github.com/joez17/chatbridge
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
https://github.com/johannesmessner/boxte
https://github.com/jonjoncardoso/jonjoncardoso
Very Large Language Model as a Unified Methodology of Text Mining
https://github.com/jquesnelle/scaled-rope
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
https://github.com/jquesnelle/yarn
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
https://github.com/julessanchez/x-nesyl
https://github.com/jzhang38/EasyContext
https://github.com/kaistai/semiparametric_token-sequence_co-supervision
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
https://github.com/kakaobrain/honeybee
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
https://github.com/kamanphoebe/look-into-moes
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
https://github.com/kamigaito/icml2022
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/kdexd/lang-emerge-parlai
https://github.com/kevin666aa/flaml
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
https://github.com/kevinwu23/SourceCheckup
How well do LLMs cite relevant medical references? An evaluation framework and analyses
https://github.com/keyhsw/chemllm
https://github.com/khalil-research/1d-arc
https://github.com/kingcong/models/tree/main/hake
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/kinit-sk/l3d-sensitivity-investigation
https://github.com/knotgrass/attention/blob/main/attn/attention.py
https://github.com/knowlab/bi-weekly-paper-presentation
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
https://github.com/kracr/document-level-relation-extraction
https://github.com/krantirk/CycleGT
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
https://github.com/kuk/rulm-sbs2
https://github.com/kyegomez/PALM-E
https://github.com/kyutai-labs/hibiki
Moshi: a speech-text foundation model for real-time dialogue
https://github.com/kyutai-labs/moshivis
Moshi: a speech-text foundation model for real-time dialogue
https://github.com/labbeti/aac-datasets
https://github.com/lamm-mit/pdf2audio
SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
https://github.com/lars-research/3d-pgt
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
https://github.com/lars-research/red-gnn
https://github.com/lastmile-ai/aiconfig
YUAN 2.0: A Large Language Model with Localized Filtering-based Attention
https://github.com/laurendelong21/mars
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs
https://github.com/layumi/University1652-Baseline
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
https://github.com/leloykun/mmfm-challenge
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.