research
∙
09/01/2023
Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k,𝒳)-Core Analysis
Querying cohesive subgraphs on temporal graphs (e.g., social network, fi...
share
research
∙
06/11/2023
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
Emotion recognition in conversation, which aims to predict the emotion f...
research
∙
05/24/2023
Large Language Models as Counterfactual Generator: Strengths and Weaknesses
Large language models (LLMs) have demonstrated remarkable performance in...
research
∙
05/03/2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
The zero-shot relation triplet extraction (ZeroRTE) task aims to extract...
research
∙
02/13/2023
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
Despite the recent success achieved by several two-stage prototypical ne...
research
∙
01/10/2023
Scalable Time-Range k-Core Query on Temporal Graphs(Full Version)
Querying cohesive subgraphs on temporal graphs with various time constra...
research
∙
12/02/2021
From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction
Lack of labeled data is a main obstacle in relation extraction. Semi-sup...
research
∙
06/28/2021
Intent Disentanglement and Feature Self-supervision for Novel Recommendation
One key property in recommender systems is the long-tail distribution in...
research
∙
01/04/2021
Recommending Accurate and Diverse Items Using Bilateral Branch Network
Recommender systems have played a vital role in online platforms due to ...
research
∙
10/22/2020
Exploit Multiple Reference Graphs for Semi-supervised Relation Extraction
Manual annotation of the labeled data for relation extraction is time-co...
research
∙
12/28/2019
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks
Matrix completion is a classic problem underlying recommender systems. I...
research
∙
12/16/2019