Renchi Yang - RankMe

78 papers A* 15A 4B 1Journal 47Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering. KDD (1) Haoran Zheng, Renchi Yang, Hongtao Wang, Jianliang Xu
2026	A	`conf`	NILC: Discovering New Intents with LLM-assisted Clustering. WSDM Hongtao Wang, Renchi Yang, Wenqing Lin
2026	—	`conf`	Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization. KDD (1) Haoran Zheng, Renchi Yang, Yubo Zhou, Jianliang Xu
2026	—	`conf`	Signed Proximity Matters in Graph-based Recommendation. KDD (1) Yifan Song, Renchi Yang, Jing Tang
2025	A*	`conf`	Adaptive Local Clustering Over Attributed Graphs. ICDE Haoran Zheng, Renchi Yang, Jianliang Xu
2025	J	`jnl`	Adaptive Local Clustering over Attributed Graphs. CoRR Haoran Zheng, Renchi Yang, Jianliang Xu
2025	A	`conf`	Cequel: Cost-Effective Querying of Large Language Models for Text Clustering. CIKM Hongtao Wang, Taiyan Zhang, Renchi Yang, Jianliang Xu
2025	A	`conf`	Community-Aware Social Community Recommendation. CIKM Runhao Jiang, Renchi Yang, Wenqing Lin
2025	J	`jnl`	Community-Aware Social Community Recommendation. CoRR Runhao Jiang, Renchi Yang, Wenqing Lin
2025	J	`jnl`	Cost-Effective Text Clustering with Large Language Models. CoRR Hongtao Wang, Taiyan Zhang, Renchi Yang, Jianliang Xu
2025	J	`jnl`	Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering. CoRR Haoran Zheng, Renchi Yang, Hongtao Wang, Jianliang Xu
2025	A*	`conf`	Diffusion-based Graph-agnostic Clustering. WWW Kun Xie, Renchi Yang, Sibo Wang
2025	J	`jnl`	Effective Clustering for Large Multi-Relational Graphs. CoRR Xiaoyang Lin, Runhao Jiang, Renchi Yang
2025	J	`jnl`	Effective Clustering for Large Multi-Relational Graphs. Proc. ACM Manag. Data Xiaoyang Lin, Runhao Jiang, Renchi Yang
2025	—	`conf`	Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities. KDD (2) Jiancheng Ruan, Tingyang Chen, Renchi Yang, Xiangyu Ke, Yunjun Gao
2025	J	`jnl`	Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities. CoRR Jiancheng Ruan, Tingyang Chen, Renchi Yang, Xiangyu Ke, Yunjun Gao
2025	A	`conf`	GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs. CIKM Hewen Wang, Renchi Yang, Xiaokui Xiao
2025	J	`jnl`	GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs. CoRR Hewen Wang, Renchi Yang, Xiaokui Xiao
2025	A*	`conf`	GraSP: Simple Yet Effective Graph Similarity Predictions. AAAI Haoran Zheng, Jieming Shi, Renchi Yang
2025	A*	`conf`	Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs. SIGIR Taiyan Zhang, Renchi Yang, Yurui Lai, Mingyu Yan, Xiaochun Ye, Dongrui Fan
2025	J	`jnl`	NILC: Discovering New Intents with LLM-assisted Clustering. CoRR Hongtao Wang, Renchi Yang, Wenqing Lin
2025	J	`jnl`	Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization. CoRR Haoran Zheng, Renchi Yang, Yubo Zhou, Jianliang Xu
2025	J	`jnl`	Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering. CoRR Songbo Wang, Renchi Yang, Yurui Lai, Xiaoyang Lin, Tsz Nam Chan
2025	A*	`conf`	SAFT: Structure-aware Transformers for Textual Interaction Classification. SIGIR Hongtao Wang, Renchi Yang, Hewen Wang, Haoran Zheng, Jianliang Xu
2025	J	`jnl`	SAFT: Structure-aware Transformers for Textual Interaction Classification. CoRR Hongtao Wang, Renchi Yang, Hewen Wang, Haoran Zheng, Jianliang Xu
2025	—	`conf`	Simple yet Effective Graph Distillation via Clustering. KDD (2) Yurui Lai, Taiyan Zhang, Renchi Yang
2025	J	`jnl`	Simple yet Effective Graph Distillation via Clustering. CoRR Yurui Lai, Taiyan Zhang, Renchi Yang
2025	—	`conf`	Spectral Subspace Clustering for Attributed Graphs. KDD (1) Xiaoyang Lin, Renchi Yang, Haoran Zheng, Xiangyu Ke
2024	J	`jnl`	A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation. CoRR Yiran Li, Gongyao Guo, Jieming Shi, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo
2024	J	`jnl`	A versatile framework for attributed network clustering via K-nearest neighbor augmentation. VLDB J. Yiran Li, Gongyao Guo, Jieming Shi, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo
2024	J	`jnl`	Cost-Effective Label-free Node Classification with LLMs. CoRR Taiyan Zhang, Renchi Yang, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Yurui Lai
2024	A*	`conf`	Effective Clustering on Large Attributed Bipartite Graphs. KDD Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi
2024	J	`jnl`	Effective Clustering on Large Attributed Bipartite Graphs. CoRR Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi
2024	A*	`conf`	Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. KDD Hewen Wang, Renchi Yang, Xiaokui Xiao
2024	J	`jnl`	Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. CoRR Hewen Wang, Renchi Yang, Xiaokui Xiao
2024	J	`jnl`	Efficient High-Quality Clustering for Large Bipartite Graphs. Proc. ACM Manag. Data Renchi Yang, Jieming Shi
2024	A*	`conf`	Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks. KDD Yurui Lai, Xiaoyang Lin, Renchi Yang, Hongtao Wang
2024	J	`jnl`	Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks. CoRR Yurui Lai, Xiaoyang Lin, Renchi Yang, Hongtao Wang
2024	J	`jnl`	GraSP: Simple yet Effective Graph Similarity Predictions. CoRR Haoran Zheng, Jieming Shi, Renchi Yang
2024	J	`jnl`	SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network. CoRR Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li
2024	J	`jnl`	Spectral Subspace Clustering for Attributed Graphs. CoRR Xiaoyang Lin, Renchi Yang, Haoran Zheng, Xiangyu Ke
2023	B	`conf`	Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations. DaWaK Hewen Wang, Renchi Yang, Jieming Shi
2023	J	`jnl`	Effective and Efficient PageRank-based Positioning for Graph Visualization. Proc. ACM Manag. Data Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang
2023	A*	`conf`	Efficient Approximation Algorithms for Spanning Centrality. KDD Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang
2023	J	`jnl`	Efficient Approximation Algorithms for Spanning Centrality. CoRR Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang
2023	J	`jnl`	Efficient Estimation of Pairwise Effective Resistance. CoRR Renchi Yang, Jing Tang
2023	J	`jnl`	Efficient Estimation of Pairwise Effective Resistance. Proc. ACM Manag. Data Renchi Yang, Jing Tang
2023	J	`jnl`	Efficient High-Quality Clustering for Large Bipartite Graphs. CoRR Renchi Yang, Jieming Shi
2023	J	`jnl`	Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation. Proc. ACM Manag. Data Yiran Li, Renchi Yang, Jieming Shi
2023	A*	`conf`	Efficient and Effective Edge-wise Graph Representation Learning. KDD Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao
2023	J	`jnl`	Efficient and Effective Similarity Search over Bipartite Graphs. CoRR Renchi Yang
2023	A*	`conf`	Node-wise Diffusion for Scalable Graph Learning. WWW Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
2023	J	`jnl`	Node-wise Diffusion for Scalable Graph Learning. CoRR Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
2023	J	`jnl`	PANE: scalable and effective attributed network embedding. VLDB J. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
2023	A*	`conf`	SlotGAT: Slot-based Message Passing for Heterogeneous Graphs. ICML Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li
2022	A*	`conf`	Efficient and Effective Similarity Search over Bipartite Graphs. WWW Renchi Yang
2022	—	`conf`	LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
2022	J	`jnl`	No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server. SIGMOD Rec. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
2022	—	`conf`	Scalable and Effective Bipartite Network Embedding. SIGMOD Conference Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
2021	A*	`conf`	Effective and Scalable Clustering on Massive Attributed Graphs. WWW Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao
2021	J	`jnl`	Effective and Scalable Clustering on Massive Attributed Graphs. CoRR Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao
2021	—	`conf`	Fast Approximate All Pairwise CoSimRanks via Random Projection. WISE (1) Renchi Yang, Xiaokui Xiao
2021	J	`jnl`	PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank. CoRR Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang
2021	J	`jnl`	Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization. Proc. VLDB Endow. Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
2020	J	`jnl`	Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
2020	—	`—`	Efficient and scalable techniques for pagerank-based graph analytics Renchi Yang
2020	J	`jnl`	Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank. Proc. VLDB Endow. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick
2020	J	`jnl`	Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. CoRR Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
2020	J	`jnl`	Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. Proc. VLDB Endow. Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
2020	J	`jnl`	Scaling Attributed Network Embedding to Massive Graphs. CoRR Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
2020	J	`jnl`	Scaling Attributed Network Embedding to Massive Graphs. Proc. VLDB Endow. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
2019	J	`jnl`	Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. CoRR Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang
2019	J	`jnl`	Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. ACM Trans. Database Syst. Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang
2019	—	`conf`	Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
2019	J	`jnl`	Efficient Estimation of Heat Kernel PageRank for Local Clustering. CoRR Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
2019	J	`jnl`	Homogeneous Network Embedding for Massive Graphs via Personalized PageRank. CoRR Renchi Yang, Jieming Shi, Xiaokui Xiao, Sourav S. Bhowmick, Yin Yang
2019	J	`jnl`	Realtime Top-k Personalized PageRank over Large Graphs on GPUs. Proc. VLDB Endow. Jieming Shi, Renchi Yang, Tianyuan Jin, Xiaokui Xiao, Yin Yang
2017	A*	`conf`	FORA: Simple and Effective Approximate Single-Source Personalized PageRank. KDD Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang