activity
20192026
most citedRepresentation Learning for Attributed Multiplex Heterogeneous Network

479 citations · 655 across the 25 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CL2024★ 1 cited

PrefRAG: Preference-Driven Multi-Source Retrieval Augmented Generation

Qingfei Zhao, Ruobing Wang, Yukuo Cen +3

Retrieval-Augmented Generation (RAG) has emerged as a reliable external knowledge augmentation technique to mitigate hallucination issues and parameterized knowledge limitations in…

cs.CL2024★ 2 cited

LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering

Qingfei Zhao, Ruobing Wang, Yukuo Cen +4

Long-Context Question Answering (LCQA), a challenging task, aims to reason over long-context documents to yield accurate answers to questions. Existing long-context Large Language…

cs.SI2024★ 14 cited

Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs

Huanjing Zhao, Beining Yang, Yukuo Cen +6

The text-attributed graph (TAG) is one kind of important real-world graph-structured data with each node associated with raw texts. For TAGs, traditional few-shot node classificati…

cs.LG2024★ 1 cited

Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training

Yufei He, Zhenyu Hou, Yukuo Cen +5

Graph pre-training has been concentrated on graph-level tasks involving small graphs (e.g., molecular graphs) or learning node representations on a fixed graph. Extending graph pre…

cs.LG2024

GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment

Zhenyu Hou, Haozhan Li, Yukuo Cen +2

Graph self-supervised learning (SSL) holds considerable promise for mining and learning with graph-structured data. Yet, a significant challenge in graph SSL lies in the feature di…

cs.LG2024★ 1 cited

Does Negative Sampling Matter? A Review with Insights into its Theory and Applications

Zhen Yang, Ming Ding, Tinglin Huang +5

Negative sampling has swiftly risen to prominence as a focal point of research, with wide-ranging applications spanning machine learning, computer vision, natural language processi…

cs.DL2024

PST-Bench: Tracing and Benchmarking the Source of Publications

Fanjin Zhang, Kun Cao, Yukuo Cen +3

Tracing the source of research papers is a fundamental yet challenging task for researchers. The billion-scale citation relations between papers hinder researchers from understandi…

cs.DL2024★ 15 cited

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining

Fanjin Zhang, Shijie Shi, Yifan Zhu +19

With the rapid proliferation of scientific literature, versatile academic knowledge services increasingly rely on comprehensive academic graph mining. Despite the availability of p…