moguizhizi Goto Github PK

lifelongreid

offical implement of our Lifelong Person Re-Identification via Adaptive Knowledge Accumulation in CVPR2021

liftnet

literale

Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs

lkge

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023

lmpnn

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

lnn

A `Neural = Symbolic` framework for sound and complete weighted real-value logic

logco

maker

Source code for the IJCAI 2022 paper "Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting"

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

marius

Large scale graph learning on a single machine.

mbe

Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities, CIKM 2022

metakgr

Source codes and datasets for EMNLP 2019 paper "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations"

metar

Source code for EMNLP 2019 paper "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs"

miner

A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. EMNLP 2022

minerva

Meandering In Networks of Entities to Reach Verisimilar Answers

mmkb

Several data modalities for KBs (visual, numerical, temporal, etc.)

mnn

MNN is a lightweight deep neural network inference engine.

models

Models and examples built with TensorFlow

morse

Source code for the SIGIR 2022 paper "Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding"

mrl-cqa

MRL-CQA for EMNLP 2020 submission. This work has been accepted by EMNLP 2020.

multi-hopqa

multihopkg

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

multirelational-poincare

Multi-relational Poincaré Graph Embeddings

nagphormer

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

nai

nbfnet

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

nbfnet-pyg

PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

ncrl

The official Pytorch implementation of the paper Neural Compositional Rule Learning for Knowledge Graph Reasoning

neo-gnns

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction

ner_news

采用Bert+BiLstm+CRF模型，抽取新闻中的实体信息