Tiny Tom's repositories
awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
CAFE
Knowledge Graph Completion using Neighborhood-Aware Features (published in EAAI)
entity-matchers
Source code for "A Critical Re-evaluation of Neural Methods for Entity Alignment"
GAL
[ICML 2021] Information Obfuscation of Graph Neural Networks
Geo-ER
Code for 'Geospatial Entity Resolution' paper (WWW 2022)
Geocoding
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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?".
InferenceAttack
Code repository for ACL-IJCNLP 2021 paper 'Poisoning Knowledge Graph Embeddings via Relation Inference Patterns'
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
lcn
Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)
LIME
source codes
MELBench
Multimodal entity linking (MEL) aims to utilize multimodal information to map mentions to corresponding entities defined in knowledge bases. We release three MEL datasets: Weibo-MEL, Wikidata-MEL and Richpedia-MEL, containing 25,602, 18,880 and 17,806 samples from social media, encyclopedia and multimodal knowledge graphs respectively. A MEL dataset construction approach is proposed, including five stages: multimodal information extraction, mention extraction, entity extraction, triple construction and dataset construction. Experiment results demonstrate the usability of the datasets and the distinguishability between baseline models.
multimodal-deep-learning
This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.
NCA-OSM-to-KGs
This repository provides the code for implementing the class alignments between OpenStreetMap and Knowledge Graphs using an auxiliary neural classification model based on linked entities between OSM and KG
SANE
The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.
TKBC
An Interpretable Multi-hop Reasoning (IMR) model for temporal KG forecasting.
ZHEClean
Code for the paper "ZHEClean: Cleaning Dirty Knowledge Graphs using Zero Human-labeled Examples"