activity
20182025
most citedLearning Intents behind Interactions with Knowledge Graph for Recommendation

579 citations · 3k across the 98 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 5 cited

Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction

Yixin Cao, Jun Kuang, Ming Gao +3

Relation Extraction (RE) is a vital step to complete Knowledge Graph (KG) by extracting entity relations from texts.However, it usually suffers from the long-tail issue. The traini…

cs.LG2020★ 66 cited

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method

Fuli Feng, Weiran Huang, Xiangnan He +3

Graph Convolutional Network (GCN) is an emerging technique for information retrieval (IR) applications. While GCN assumes the homophily property of a graph, real-world graphs are n…

cs.CL2020★ 9 cited

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment

Zhiyuan Liu, Yixin Cao, Liangming Pan +2

Entity alignment (EA) aims at building a unified Knowledge Graph (KG) of rich content by linking the equivalent entities from various KGs. GNN-based EA methods present promising pe…

cs.IR2020★ 173 cited

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue

Wenjie Wang, Fuli Feng, Xiangnan He +2

Recommendation is a prevalent and critical service in information systems. To provide personalized suggestions to users, industry players embrace machine learning, more specificall…

cs.CL2020★ 20 cited

Multi-modal Cooking Workflow Construction for Food Recipes

Liangming Pan, Jingjing Chen, Jianlong Wu +5

Understanding food recipe requires anticipating the implicit causal effects of cooking actions, such that the recipe can be converted into a graph describing the temporal workflow…