NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (90)

cs.LG2024

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials

Mingguo He, Zhewei Wei, Shikun Feng +4

cs.LG2023

Graph Neural Networks with Learnable and Optimal Polynomial Bases

Yuhe Guo, Zhewei Wei

cs.LG2019

Scalable Graph Embeddings via Sparse Transpose Proximities

Yuan Yin, Zhewei Wei

cs.DS2021

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push

Hao Wu, Junhao Gan, Zhewei Wei +1

cs.LG2023

Decoupled Graph Neural Networks for Large Dynamic Graphs

Yanping Zheng, Zhewei Wei, Jiajun Liu

cs.LG2025

Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier

Lu Yi, Zhewei Wei

cs.CV2026

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding

Wenda Wang, Yihan Tong, Yuwei Hu +4

cs.AI2026

Position: The Turing-Completeness of Autoregressive Transformers Relies Heavily on Context Management

Guanyu Cui, Zhewei Wei, Kun He

physics.soc-ph2025

Leveraging LLM-based agents for social science research: insights from citation network simulations

Jiarui Ji, Runlin Lei, Xuchen Pan +8

cs.DB2021

FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data

Shuyuan Yan, Bolin Ding, Wei Guo +4

cs.DS2008

Dynamic External Hashing: The Limit of Buffering

Zhewei Wei, Ke Yi, Qin Zhang

cs.CL2024

SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent

Jiarui Ji, Yang Li, Hongtao Liu +5

cs.AI2026

Learning Agent-Compatible Context Management for Long-Horizon Tasks

Lu Yi, Runlin Lei, Liuyi Yao +6

cs.LG2024

A survey of dynamic graph neural networks

Yanping Zheng, Lu Yi, Zhewei Wei

q-bio.QM2026

AbFlow : End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching

Wenda Wang, Yang Zhang, Zhewei Wei +1

cs.DS2024

Revisiting Local Computation of PageRank: Simple and Optimal

Hanzhi Wang, Zhewei Wei, Ji-Rong Wen +1

cs.LG2021

Graph Neural Networks Inspired by Classical Iterative Algorithms

Yongyi Yang, Tang Liu, Yangkun Wang +6

cs.AI2026

Visual Graph Scaffolds for Structural Reasoning in Large Language Models

Runlin Lei, Xiaokui Xiao, Zhewei Wei

cs.LG2026

FuseDiff: Symmetry-Preserving Joint Diffusion for Dual-Target Structure-Based Drug Design

Jianliang Wu, Anjie Qiao, Zhen Wang +2

cs.LG2024

PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer

Jiahong Ma, Mingguo He, Zhewei Wei

q-bio.BM2024

S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search

Gengmo Zhou, Zhen Wang, Feng Yu +3

cs.LG2025

Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs

Runlin Lei, Jiarui Ji, Haipeng Ding +4

cs.LG2022

Clenshaw Graph Neural Networks

Yuhe Guo, Zhewei Wei

cs.DS2022

Edge-based Local Push for Personalized PageRank

Hanzhi Wang, Zhewei Wei, Junhao Gan +3

cs.CL2024

YuLan: An Open-source Large Language Model

Yutao Zhu, Kun Zhou, Kelong Mao +35

cs.IR2025

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding

Yunjia Xi, Hangyu Wang, Bo Chen +7

cs.LG2025

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions

Yule Li, Yifeng Lu, Zhen Wang +3

cs.DS2024

Approximating Single-Source Personalized PageRank with Absolute Error Guarantees

Zhewei Wei, Ji-Rong Wen, Mingji Yang

cs.DS2020

Exact Single-Source SimRank Computation on Large Graphs

Hanzhi Wang, Zhewei Wei, Ye Yuan +2

cs.LG2025

Future Link Prediction Without Memory or Aggregation

Lu Yi, Runlin Lei, Fengran Mo +3

cs.LG2023

LON-GNN: Spectral GNNs with Learnable Orthonormal Basis

Qian Tao, Zhen Wang, Wenyuan Yu +2

cs.LG2025

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications

Jiaqi Han, Jiacheng Cen, Liming Wu +13

cs.SI2019

Efficient Estimation of Heat Kernel PageRank for Local Clustering

Renchi Yang, Xiaokui Xiao, Zhewei Wei +3

cs.LG2022

Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting

Dazhao Du, Bing Su, Zhewei Wei

cs.DB2024

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation

Tianjing Zeng, Junwei Lan, Jiahong Ma +7

cs.LG2025

Fast Second-Order Online Kernel Learning through Incremental Matrix Sketching and Decomposition

Dongxie Wen, Xiao Zhang, Zhewei Wei +3

cs.AI2026

GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning

Jie Peng, Jiarui Ji, Runlin Lei +3

cs.DB2022

Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme

Guanhao Hou, Qintian Guo, Fangyuan Zhang +2

cs.CV2024

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation

Xuwei Xu, Sen Wang, Yudong Chen +3

cs.LG2022

Instant Graph Neural Networks for Dynamic Graphs

Yanping Zheng, Hanzhi Wang, Zhewei Wei +2

cs.AI2026

From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents

Haipeng Ding, Yuexiang Xie, Zhewei Wei +2

cs.LG2025

Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report

Haipeng Ding, Zhewei Wei, Yuhang Ye

cs.SI2019

Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries

Sibo Wang, Renchi Yang, Runhui Wang +5

cs.LG2024

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Mingguo He, Zhewei Wei, Ji-Rong Wen

cs.DS2012

Equivalence between Priority Queues and Sorting in External Memory

Zhewei Wei, Ke Yi

cs.CG2023

On Range Summary Queries

Peyman Afshani, Pingan Cheng, Aniket Basu Roy +1

cs.CE2023

Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?

Gengmo Zhou, Zhifeng Gao, Zhewei Wei +2

cs.LG2023

MGNN: Graph Neural Networks Inspired by Distance Geometry Problem

Guanyu Cui, Zhewei Wei

cs.DB2026

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis

Yunxiang Su, Tianjing Zeng, Zhongjun Ding +5

cs.LG2025

Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses

Runlin Lei, Lu Yi, Mingguo He +4

cs.AI2025

Rethinking and Benchmarking Large Language Models for Graph Reasoning

Yuwei Hu, Xinyi Huang, Zhewei Wei +2

cs.LG2024

Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks

Jie Peng, Runlin Lei, Zhewei Wei

cs.DS2021

Approximate Graph Propagation

Hanzhi Wang, Mingguo He, Zhewei Wei +4

cs.LG2026

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer

Jie Peng, Zhewei Wei, Yuhang Ye

cs.LG2025

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics

Lu Yi, Jie Peng, Yanping Zheng +5

cs.DS2023

Estimating Single-Node PageRank in $\tilde{O}\left(\min\{d_t, \sqrt{m}\}\right)$ Time

Hanzhi Wang, Zhewei Wei

cs.LG2021

Scalable Graph Neural Networks via Bidirectional Propagation

Ming Chen, Zhewei Wei, Bolin Ding +4

cs.DS2025

Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models

Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu +1

cs.DS2020

Personalized PageRank to a Target Node, Revisited

Hanzhi Wang, Zhewei Wei, Junhao Gan +2

cs.LG2026

Beyond Leakage and Complexity: Towards Realistic and Efficient Information Cascade Prediction

Jie Peng, Rui Wang, Qiang Wang +4

cs.LG2024

Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level

Runlin Lei, Yuwei Hu, Yuchen Ren +1

cs.AI2025

A Survey on Large Language Model based Autonomous Agents

Lei Wang, Chen Ma, Xueyang Feng +10

cs.DS2016

The Space Complexity of 2-Dimensional Approximate Range Counting

Zhewei Wei, Ke Yi

q-bio.BM2026

Multi-Alignment Contrastive Learning for Enzyme--Reaction Retrieval

Gengmo Zhou, Feng Yu, Wenda Wang +4

cs.SI2026

GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation

Jiarui Ji, Zehua Zhang, Zhewei Wei +3

q-bio.BM2024

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Yang Zhang, Zhewei Wei, Ye Yuan +2

cs.DS2019

PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs

Zhewei Wei, Xiaodong He, Xiaokui Xiao +4

q-bio.BM2022

Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling

Yang Zhang, Gengmo Zhou, Zhewei Wei +1

cs.MA2024

Very Large-Scale Multi-Agent Simulation in AgentScope

Xuchen Pan, Dawei Gao, Yuexiang Xie +6

cs.SI2025

Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method

Guanyu Cui, Hanzhi Wang, Zhewei Wei

cs.CL2024

Towards Effective and Efficient Continual Pre-training of Large Language Models

Jie Chen, Zhipeng Chen, Jiapeng Wang +16

cs.LG2026

Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching

Dongxie Wen, Hanyan Yin, Xiao Zhang +3

cs.DB2018

ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs

Yu Liu, Bolong Zheng, Xiaodong He +4

cs.DS2026

PageRank Centrality in Directed Graphs with Bounded In-Degree

Mikkel Thorup, Hanzhi Wang, Zhewei Wei +1

cs.LG2025

Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation

Yanping Zheng, Zhewei Wei, Frank de Hoog +4

cs.DB2026

AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams

Hanyan Yin, Dongxie Wen, Jiajun Li +4

cs.DS2023

Optimal Dynamic Subset Sampling: Theory and Applications

Lu Yi, Hanzhi Wang, Zhewei Wei

cs.LG2022

Learning to be a Statistician: Learned Estimator for Number of Distinct Values

Renzhi Wu, Bolin Ding, Xu Chu +4

cs.AI2025

Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents

Yuwei Hu, Runlin Lei, Xinyi Huang +2

cs.LG2023

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

Runlin Lei, Zhen Wang, Yaliang Li +2

cs.LG2026

Back to Basics: Improving Molecular Understanding in LLMs via SMILES-Graph Translation

Wenda Wang, Jinjia Feng, Zhewei Wei

cs.CL2025

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models

Jiarui Ji, Runlin Lei, Jialing Bi +6

cs.DS2026

On Solving Asymmetric Diagonally Dominant Linear Systems in Sublinear Time

Tsz Chiu Kwok, Zhewei Wei, Mingji Yang

cs.LG2020

Simple and Deep Graph Convolutional Networks

Ming Chen, Zhewei Wei, Zengfeng Huang +2

cs.DB2022

Sampling-based Estimation of the Number of Distinct Values in Distributed Environment

Jiajun Li, Zhewei Wei, Bolin Ding +3

cs.LG2026

How Hard Is It for Message-Passing GNNs to Simulate One Weisfeiler-Lehman Color-Refinement Step?

Guanyu Cui, Yuhe Guo, Zhewei Wei +1

cs.LG2022

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation

Mingguo He, Zhewei Wei, Zengfeng Huang +1

cs.DB2024

Optimal Matrix Sketching over Sliding Windows

Hanyan Yin, Dongxie Wen, Jiajun Li +4

cs.LG2025

Rethinking Link Prediction for Directed Graphs

Mingguo He, Yuhe Guo, Yanping Zheng +3

cs.DS2024

Efficient Algorithms for Personalized PageRank Computation: A Survey

Mingji Yang, Hanzhi Wang, Zhewei Wei +2