research
∙
09/16/2023
Cross-Lingual Knowledge Editing in Large Language Models
Knowledge editing aims to change language models' performance on several...
share
research
∙
03/29/2023
When to Pre-Train Graph Neural Networks? An Answer from Data Generation Perspective!
Recently, graph pre-training has attracted wide research attention, whic...
research
∙
01/21/2023
Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning
Recent knowledge enhanced pre-trained language models have shown remarka...
research
∙
12/14/2022
Understanding Translationese in Cross-Lingual Summarization
Given a document in a source language, cross-lingual summarization (CLS)...
research
∙
06/11/2022
A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training
Multi-modal pre-training and knowledge discovery are two important resea...
research
∙
04/21/2022
DropMessage: Unifying Random Dropping for Graph Neural Networks
Graph Neural Networks (GNNs) are powerful tools for graph representation...
research
∙
11/08/2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Adversarial attacks on graphs have posed a major threat to the robustnes...
research
∙
12/12/2020
Query-free Black-box Adversarial Attacks on Graphs
Many graph-based machine learning models are known to be vulnerable to a...
research
∙
12/04/2020
