daima2017 Goto Github PK

activeea

ActiveEA: Active Learning for Neural Entity Alignment

am-gcn

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

assignmentkg_dlab

PARIS - Knowledge Graph Alignment study for the DLAB assignment

atlab-knowledgegraph

基于地理格网的时空知识图谱

awesome-graph-attack-papers

Adversarial attacks and defenses on Graph Neural Networks.

awesome-multimodal-knowledge-graph

A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

boxe

Implementation of the BoxE model from the NeurIPS 2020 paper "BoxE: A Box Embedding Model for Knowledge Base Completion". Also includes a visualization tool, BoxEViz, to show the evolution of boxes over training.

cafe

Knowledge Graph Completion using Neighborhood-Aware Features (published in EAAI)

criage

Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications

daem

Deep Entity Matching with Adversarial Active Learning

emgcn

This is an implementation of the paper Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks

entity-matchers

Source code for "A Critical Re-evaluation of Neural Methods for Entity Alignment"

entity_alignment_papers

Must-read papers on entity alignment published in recent years

gal

[ICML 2021] Information Obfuscation of Graph Neural Networks

galign

This is the code of the paper: Adaptive Network Alignment with Multi-order Convolutional Networks

geo-er

Code for 'Geospatial Entity Resolution' paper (WWW 2022)

geocoding

地址标准化

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

ieajke

Code and data for our paper "Iterative Entity Alignment via Joint Knowledge Embeddings"

inferenceattack

Code repository for ACL-IJCNLP 2021 paper 'Poisoning Knowledge Graph Embeddings via Relation Inference Patterns'

interstellar

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.

kddcup2021_wikikg90m_graphmiracles

kg_curation

Studies on "Knowledge Graph Curation with Deep Learning and Semantic Reasoning"

kiez

Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings

knowledge-graph

知识图谱-概念与技术

lcn

Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

learnpython

以撸代码的形式学习Python

lime

source codes