https://github.com/lars-research/3d-pgt
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 4
- 보존된 평가 기록
- 19
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/lars-research/red-gnn
https://github.com/laurendelong21/mars
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs
https://github.com/leloykun/mmfm-challenge
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/lhrlab/dhge
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing
https://github.com/liyichen-cly/MMEA
https://github.com/liyichen-cly/MSNEA
https://github.com/lizli502/sse-pt
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
https://github.com/logic-reasoning/Paper-Reading
https://github.com/mainuliitkgp/KG-ALSC
https://github.com/mali-git/CSQA_Implementation
https://github.com/mandiehyewon/TPAMTL
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
https://github.com/masakicktashiro/rgcn_pytorch_implementation
https://github.com/matlabmtl/Reco-KGNN-LS
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
https://github.com/miaomiao924/DEKGCI
https://github.com/microsoft/kear
Fusing Context Into Knowledge Graph for Commonsense Question Answering
https://github.com/migalkin/NodePiece/tree/main/ogb
https://github.com/mindspore-ai/models/tree/master/research/nlp/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/mlwin-de/MDE
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
https://github.com/mlwin-de/MDE_adv
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
https://github.com/mnick/holographic-embeddings
https://github.com/mnick/scikit-kge
https://github.com/mniepert/mmkb
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
https://github.com/muhaochen/MTransE
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
https://github.com/muhaochen/MTransE-tf
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
https://github.com/nalexai/hyperlib
https://github.com/nec-research/dccg
https://github.com/ngl567/RPJE
Rule-Guided Compositional Representation Learning on Knowledge Graphs
https://github.com/nicolas-hbt/versatile-embeddings
https://github.com/open-finance-lab/finlora
https://github.com/opendatalab/pm4bench
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/parajain/structscribe
Scalable Micro-planned Generation of Discourse from Structured Data
https://github.com/parkererickson/crunchBaseGraph
https://github.com/pengboci/graphrag-survey
https://github.com/phunterlau/paper_without_code/tree/main/examples/PoG/
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
https://github.com/phunterlau/paper_without_code/tree/main/examples/community-rag
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.