Alternatives and similar repositories for WWW2024_New_Frontiers_of_Knowledge_Graph_Reasoning_Tutorial:

Users that are interested in WWW2024_New_Frontiers_of_Knowledge_Graph_Reasoning_Tutorial are comparing it to the libraries listed below

• IBM / tempqa-wd
  Temporal question answering dataset for Wikidata
  ☆14Updated last year
• qizhyuan / PRASE-Python
  The code of paper "Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding"
  ☆30Updated 3 years ago
• vivian1993 / UniKER
  The official Pytorch implementation of "UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledg…
  ☆15Updated 2 years ago
• HKUST-KnowComp / WFRE
  Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport (Findings-ACL 2023)
  ☆13Updated last year
• yuanyehome / PALT
  This is the source code of our paper PALT in EMNLP2022.
  ☆13Updated 2 years ago
• solashirai / WWW-EvCBR
  Code associated with the WWW'23 paper "Event Prediction using Case-Based Reasoning over Knowledge Graphs"
  ☆16Updated last year
• chenchens190009 / KG-S2S
  COLING 2022: Knowledge Is Flat: A Seq2Seq Generative framework For Various Knowledge Graph Completion
  ☆29Updated 2 years ago
• nju-websoft / HyperKA
  Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020
  ☆41Updated 3 years ago
• nju-websoft / CoLE
  I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning, CIKM 2022
  ☆24Updated 2 years ago
• HKUST-KnowComp / ComplexHyperbolicKGE
  Source code for the paper 'Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform'.
  ☆12Updated 2 years ago
• turboLJY / Few-Shot-KG2Text
  Source for the ACL 2021 Findings paper "Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models"
  ☆18Updated last year
• HKUST-KnowComp / LMPNN
  Logical Message Passing Networks with One-hop Inference in Atomic Formulas (ICLR 2023)
  ☆15Updated last year
• NLP-Tutorials / AACL-IJCNLP2022-KGC-Tutorial
  Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction
  ☆26Updated 2 years ago
• justinlovelace / robust-kg-completion
  ☆16Updated 3 years ago
• amzn / ss-aga-kgc
  ☆31Updated 2 years ago
• nju-websoft / OKELE
  Open Knowledge Enrichment for Long-tail Entities, WWW 2020
  ☆14Updated 2 years ago
• snap-stanford / csr
  ☆34Updated last year
• jhshen95 / LASS
  Code repo for COLING 2022 paper "Joint Language Semantic and Structure Embedding for Knowledge Graph Completion"
  ☆52Updated 2 years ago
• rajarshd / CBR-SUBG
  ☆31Updated 2 years ago
• bosung / MTL-KGC
  code for the paper 'Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models' (COLING20).
  ☆25Updated 8 months ago
• sheryc / HEF
  Code and data for HEF, published in The Web Conference 2021.
  ☆16Updated 3 years ago
• jinzhuoran / CogKGE
  CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. ACL 2022
  ☆55Updated 2 years ago
• nju-websoft / LKGE
  Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023
  ☆29Updated 2 years ago
• JBoRu / UniKGQA
  ☆33Updated last year
• yongho94 / solar-framework_commonsense-inference
  Code release for "Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference"
  ☆10Updated 2 years ago
• zjunlp / KNN-KG
  [NLPCC 2023] Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models
  ☆51Updated last year
• thunlp / KACC
  KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
  ☆14Updated 3 years ago
• Yueeeeeeee / MetaEvent
  [ACL 2023] PyTorch Implementation of Zero-and Few-Shot Event Detection via Prompt-Based Meta Learning
  ☆13Updated last year
• THUDM / SelfKG
  Codes for WWW2022 accepted paper: SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
  ☆68Updated 2 years ago
• samuelbroscheit / open_knowledge_graph_embeddings
  Code to train open knowledge graph embeddings and to create a benchmark for open link prediction.
  ☆25Updated last year