Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu
KDD 2024 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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562papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled562100.0%
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Towards Automatic Evaluation for LLMs’ Clinical Capabilities: Metric, Data, and Algorithm
Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xiangguo Lv, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling
Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu
Topology-monitorable Contrastive Learning on Dynamic Graphs
Zulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo
Topology-aware Embedding Memory for Continual Learning on Expanding Networks
Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao
Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization
Zhibin Gu, Zhendong Li, Songhe Feng
Top-Down Bayesian Posterior Sampling for Sum-Product Networks
Soma Yokoi, Issei Sato
TnT-LLM: Text Mining at Scale with Large Language Models
Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
Time-Aware Attention-Based Transformer (TAAT) for Cloud Computing System Failure Prediction
Lingfei Deng, Yunong Wang, Haoran Wang, Xuhua Ma, Xiaoming Du, Xudong Zheng, Dongrui Wu
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field
Kun Wang, Guohao Li, shilong wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang
The Heterophily Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang
Text Matching Indexers in Taobao Search
Sen Li, Fuyu Lv, Ruqing Zhang, OU Dan, Zhixuan Zhang, Maarten Rijke
Tensorized Unaligned Multi-view Clustering with Multi-scale Representation Learning
Jintian Ji, Songhe Feng, Yidong Li
Temporal Uplift Modeling for Online Marketing
Xin Zhang, Kai Wang, Zengmao Wang, Bo Du, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan
Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks
Feiyang Xu, Shunyu Liu, Yunpeng Qing, Yihe Zhou, Yuwen Wang, Mingli Song
Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale
Anmol Agarwal, Pratyush Priyadarshi, Shiven Sinha, Shrey Gupta, Hitkul Jangra, Ponnurangam Kumaraguru, Kiran Garimella
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs
Jiahuan Yan, Jintai Chen, Qianxing Wang, Danny Z Chen, Jian Wu
Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization
Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi
Tackling Concept Shift in Text Classification using Entailment-style Modeling
Sumegh Roychowdhury, Karan Gupta, Siva Rajesh Kasa, Prasanna Srinivasa Murthy