b'Yuxiao Dong'

research

∙ 08/28/2023

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Although large language models (LLMs) demonstrate impressive performance...

0 Yushi Bai, et al. ∙

research

∙ 08/07/2023

AgentBench: Evaluating LLMs as Agents

Large Language Models (LLMs) are becoming increasingly smart and autonom...

0 Xiao Liu, et al. ∙

research

∙ 06/13/2023

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences

We present WebGLM, a web-enhanced question-answering system based on the...

0 Xiao Liu, et al. ∙

research

∙ 06/06/2023

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs

In-Batch contrastive learning is a state-of-the-art self-supervised meth...

0 Zhen Yang, et al. ∙

research

∙ 05/24/2023

Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration

We identify two crucial limitations in the evaluation of recent parallel...

0 Kejuan Yang, et al. ∙

research

∙ 04/12/2023

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

We present ImageReward – the first general-purpose text-to-image human p...

5 Jiazheng Xu, et al. ∙

research

∙ 04/10/2023

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Graph self-supervised learning (SSL), including contrastive and generati...

0 Zhenyu Hou, et al. ∙

research

∙ 03/26/2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation

Despite the recent emergence of video captioning models, how to generate...

0 Ji Qi, et al. ∙

research

∙ 10/05/2022

GLM-130B: An Open Bilingual Pre-trained Model

We introduce GLM-130B, a bilingual (English and Chinese) pre-trained lan...

8 Aohan Zeng, et al. ∙

research

∙ 08/16/2022

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries

Knowledge graph (KG) embeddings have been a mainstream approach for reas...

0 Xiao Liu, et al. ∙

research

∙ 07/14/2022

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers

Prompt tuning attempts to update few task-specific parameters in pre-tra...

0 Weng Lam Tam, et al. ∙

research

∙ 05/22/2022

GraphMAE: Self-Supervised Masked Graph Autoencoders

Self-supervised learning (SSL) has been extensively explored in recent y...

0 Zhenyu Hou, et al. ∙

research

∙ 04/09/2022

IDPG: An Instance-Dependent Prompt Generation Method

Prompt tuning is a new, efficient NLP transfer learning paradigm that ad...

0 Zhuofeng Wu, et al. ∙

research

∙ 03/12/2022

GRAND+: Scalable Graph Random Neural Networks

Graph neural networks (GNNs) have been widely adopted for semi-supervise...

0 Wenzheng Feng, et al. ∙

research

∙ 03/02/2022

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

Entity alignment, aiming to identify equivalent entities across differen...

0 Xiao Liu, et al. ∙

research

∙ 02/15/2022

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

How can we perform knowledge reasoning over temporal knowledge graphs (T...

17 Namyong Park, et al. ∙

research

∙ 12/30/2021

Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks

Heterogeneous graph neural networks (HGNNs) have been blossoming in rece...

16 Qingsong Lv, et al. ∙

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...

0 Qinkai Zheng, et al. ∙

research

∙ 08/17/2021

GCCAD: Graph Contrastive Coding for Anomaly Detection

Graph-based anomaly detection has been widely used for detecting malicio...

0 Bo Chen, et al. ∙

research

∙ 06/17/2021

A Self-supervised Method for Entity Alignment

Entity alignment, aiming to identify equivalent entities across differen...

0 Xiao Liu, et al. ∙

research

∙ 06/12/2021

TDGIA:Effective Injection Attacks on Graph Neural Networks

Graph Neural Networks (GNNs) have achieved promising performance in vari...

0 Xu Zou, et al. ∙

research

∙ 05/01/2021

Science as a Public Good: Public Use and Funding of Science

Knowledge of how science is consumed in public domains is essential for ...

0 Yian Yin, et al. ∙

research

∙ 03/17/2021

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Enabling effective and efficient machine learning (ML) over large-scale ...

61 Weihua Hu, et al. ∙

research

∙ 02/15/2021

MATCH: Metadata-Aware Text Classification in A Large Hierarchy

Multi-label text classification refers to the problem of assigning each ...

0 Yu Zhang, et al. ∙

research

∙ 11/16/2020

A Large-Scale Database for Graph Representation Learning

With the rapid emergence of graph representation learning, the construct...

0 Scott Freitas, et al. ∙

research

∙ 06/27/2020

GPT-GNN: Generative Pre-Training of Graph Neural Networks

Graph neural networks (GNNs) have been demonstrated to be powerful in mo...

43 Ziniu Hu, et al. ∙

research

∙ 06/17/2020

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Graph representation learning has emerged as a powerful technique for re...

0 Jiezhong Qiu, et al. ∙

research

∙ 05/22/2020

Graph Random Neural Network

Graph neural networks (GNNs) have generalized deep learning methods into...

57 Wenzheng Feng, et al. ∙

research

∙ 05/02/2020

Open Graph Benchmark: Datasets for Machine Learning on Graphs

We present the Open Graph Benchmark (OGB), a diverse set of challenging ...

64 Weihua Hu, et al. ∙

research

∙ 03/03/2020

Heterogeneous Graph Transformer

Recent years have witnessed the emerging success of graph neural network...

0 Ziniu Hu, et al. ∙

research

∙ 06/26/2019

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

We study the problem of large-scale network embedding, which aims to lea...

10 Jiezhong Qiu, et al. ∙

research

∙ 07/15/2018

DeepInf: Social Influence Prediction with Deep Learning

Social and information networking activities such as on Facebook, Twitte...

0 Jiezhong Qiu, et al. ∙

research

∙ 06/10/2018

Collaboration Diversity and Scientific Impact

The shift from individual effort to collaborative output has benefited s...

0 Yuxiao Dong, et al. ∙

research

∙ 02/13/2018

Neural Tensor Factorization

Neural collaborative filtering (NCF) and recurrent recommender systems (...

0 Xian Wu, et al. ∙

research

∙ 10/09/2017

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Since the invention of word2vec, the skip-gram model has significantly a...

0 Jiezhong Qiu, et al. ∙

research

∙ 04/17/2017

A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations

Progress in science has advanced the development of human society across...

0 Yuxiao Dong, et al. ∙

research

∙ 06/19/2016

Can Scientific Impact Be Predicted?

A widely used measure of scientific impact is citations. However, due to...

0 Yuxiao Dong, et al. ∙

research

∙ 12/15/2014

Will This Paper Increase Your h-index? Scientific Impact Prediction

Scientific impact plays a central role in the evaluation of the output o...

0 Yuxiao Dong, et al. ∙

research

∙ 04/14/2014

Inferring Social Status and Rich Club Effects in Enterprise Communication Networks

Social status, defined as the relative rank or position that an individu...

0 Yuxiao Dong, et al. ∙

Yuxiao Dong

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