Table of Contents

• Cascading Graph Convolution Contrastive Learning Networks for Multi-behavior RecommendationNan Liu, Shunmei Meng, Yu Jiang, Qianmu Li, Xiaolong Xu 0001, Lianyong Qi, Xuyun Zhang. 3-18 [doi]
• Social Relation Enhanced Heterogeneous Graph Contrastive Learning for RecommendationJiaxi Wang, Bingce Wang, Liwen Zhang, Tong Mo, Weiping Li. 19-34 [doi]
• Higher-Order Graph Contrastive Learning for RecommendationZhenZhong Zheng, Jianxin Li, Xiaoming Wu, Xiangzhi Liu, Lili Pei. 35-51 [doi]
• FNDPro: Evaluating the Importance of Propagations during Fake News SpreadHerun Wan, Ningnan Wang, Xiang Zhao, Rui Li, Hui Yang, Minnan Luo. 52-67 [doi]
• Leveraging Homophily-Augmented Energy Propagation for Bot Detection on GraphsBradley Ashmore, Lingwei Chen. 68-83 [doi]
• Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion PredictionZihan Feng, Rui Wu, Yajun Yang, Hong Gao 0001, Xin Wang, Xueli Liu, Qinghua Hu. 84-100 [doi]
• BiasRec: A General Bias-Aware Social Recommendation ModelChunkai Zhang, Guoqing Li. 101-116 [doi]
• Beyond the Known: Novel Class Discovery for Open-World Graph LearningYucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu. 117-133 [doi]
• Robust Graph Recommendation via Noise-Aware Adversarial PerturbationJiakai Tang, Zuxu Sun, Wei Yao, Xu Chen. 134-150 [doi]
• Learning Social Graph for Inactive User RecommendationNian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi. 151-167 [doi]
• MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link PredictionJingya Zhou. 168-184 [doi]
• uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social NetworkNuo Li, Bin Guo 0001, Yao Jing, Zhiwen Yu 0001. 185-202 [doi]
• GPSR: Graph Prompt for Session-Based RecommendationCheng Li, Pei-Yuan Lai, Yi-Hong Lu, De-Zhang Liao, Xiao Dong Huang, Chang-Dong Wang. 203-219 [doi]
• Guiding Graph Learning with Denoised Modality for Multi-modal RecommendationYuexian Wang, Wenze Ma, Yanmin Zhu, Chunyang Wang, Zhaobo Wang, Feilong Tang, Jiadi Yu. 220-235 [doi]
• Enhancing Multi-view Contrastive Learning for Graph Anomaly DetectionQingcheng Lu, Nannan Wu, Yiming Zhao, Wenjun Wang 0002, Quannan Zu. 236-251 [doi]
• Global Route Planning for Large-Scale Requests on Traffic-Aware Road NetworkJiajia Li, Yannan Wang, Rui Zhu, Jing Zhang, Na Guo. 252-268 [doi]
• TransGAD: A Transformer-Based Autoencoder for Graph Anomaly DetectionZehao Guo, Nannan Wu, Yiming Zhao, Wenjun Wang. 269-284 [doi]
• Unsupervised Node Clustering via Contrastive Hard SamplingHang Cui, Tarek F. Abdelzaher. 285-300 [doi]
• DySDGNN: Representation Learning in Dynamic Signed Directed NetworksZihao Liu, Yitong Wang. 301-310 [doi]
• Multi-objective Graph Neural Network Explanatory Model with Local and Global Information PreservationYibowen Zhao, Yonghui Xu, Yixin Zhang, Wei He 0020, LiZhen Cui. 311-320 [doi]
• EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed GraphsHewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao. 321-331 [doi]
• Diffusion Model-Enhanced Contrastive Learning for Graph RepresentationQi Dai, Yumeng Song, Yu Gu 0002, Fangfang Li, Xiaohua Li. 332-341 [doi]
• 2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature AggregationsShixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu. 342-352 [doi]
• Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph CoarseningShasha Hu, Chao Wang 0086, Chuan Qin 0002, Hengshu Zhu, Hui Xiong 0001. 353-363 [doi]
• History Driven Sampling for Scalable Graph Neural NetworksYang Li, Bingbing Xu, Fei Sun 0001, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng. 364-374 [doi]
• Subgraph Patterns Enhanced Graph Neural Network for Fraud DetectionYao Zou, Sheng Xiang, Qijun Miao, Dawei Cheng, Changjun Jiang. 375-384 [doi]
• Advancing Latent Representation Ranking for Masked Graph AutoencoderYulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang 0006, Zhao Cao, Shangquan Wu, Yong Liu 0018. 385-394 [doi]
• Path-Aware Co-contrastive Learning for Signed Directed Network EmbeddingYuechen Tang, Huifang Ma, Ke Shu, Zhixin Li 0001, Liang Chang. 395-406 [doi]
• NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio OptimizationYuxuan Bian, Haoyu Sun, Yang Lei, Peng Zhu, Dawei Cheng. 407-417 [doi]
• CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data AugmentationsTianyu Zhang, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang. 418-428 [doi]
• SymphoNEI: Symphony of Node and Edge Inductive Representations on Large Heterophilic GraphsKyusik Kim, Bongwon Suh. 429-439 [doi]
• HopLearn: Leveraging Multi-Hop Neighbors and Learnable Parameters for GNNs with Missing Node FeaturesKyusik Kim, Bongwon Suh. 440-450 [doi]
• Redesigning Data and Metadata Updates in PM File Systems with Persistent CPU CachesCongyong Chen, Shengan Zheng, Yuhang Zhang, Linpeng Huang. 453-462 [doi]
• Reusing Your Prepared Data: An Informed Cache for Accelerating DNN Model TrainingKe Han, Wen Cheng, Yong Li, Yunxiang Wu, Lingfang Zeng, Guang Chen. 463-473 [doi]
• HyBuffer: A Distributed Hybrid Shared Buffer for Multi-master DatabasesRongrong Zhang, Zhiwei Ye, Peng Cai, Xuan Zhou 0001, Aoying Zhou, Dunbo Cai, Ling Qian. 474-483 [doi]