Popular GitHub Repositories for Hop

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

Must-read papers on knowledge graph reasoning

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Multi-Hop Logical Reasoning in Knowledge Graphs

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.

Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)

Official Implementation of ACL2024 paper "Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs"(https://aclanthology.org/2024.findings-acl.168)

The official implementation of "LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers"

EMNLP 22' (Oral): SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning

[ACL 2023] Few-shot Reranking for Multi-hop QA via Language Model Prompting

[AAAI 2023] Official resources of "NQE: N-ary Query Embedding for Complex Query Answering over Hyper-relational Knowledge Graphs".

This is the code for the MLRC2020 challenge w.r.t. the ACL 2020 paper Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

k-hop Graph Neural Networks

Discover advanced AI techniques in my repository combining Multi-Hop Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG) using DSPy and Indexify. Enhance complex problem-solving with multi-step reasoning and external knowledge integration. Perfect for AI enthusiasts and researchers.

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs (NAACL 2019)

Logical Message Passing Networks with One-hop Inference in Atomic Formulas (ICLR 2023)

Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks

Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"

Official Implementation of 'Evaluating Large Language Models with Educational Knowledge Graphs: Challenges with Prerequisite Relationships and Multi-Hop Reasoning'

In this work the proposed defense strategy is evaluated against two black-box adversarial attacks, Hop Skip Jump and Square