Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,390 papers shown

Title
Robust Offline Active Learning on Graphs Yuanchen Wu Yubai Yuan OffRL 23 0 0 15 Aug 2024
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering Yunhui Liu Tieke He Qing Wu Tao Zheng Jianhua Zhao GNN 26 0 0 11 Aug 2024
Federated Hypergraph Learning with Hyperedge Completion Linfeng Luo Fengxiao Tang Xiyu Liu Zhiqi Guo Zihao Qiu Ming Zhao FedML 25 0 0 09 Aug 2024
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering Yunhui Liu Xinyi Gao Tieke He Tao Zheng Jianhua Zhao Hongzhi Yin 41 6 0 07 Aug 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks Jie Peng Runlin Lei Zhewei Wei 33 5 0 07 Aug 2024
TSC: A Simple Two-Sided Constraint against Over-Smoothing Furong Peng Kang Liu Xuan Lu Yuhua Qian HongRen Yan Chao Ma 58 0 0 06 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 35 3 0 31 Jul 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation Weibin Liao Yifan Zhu Yanyan Li Qi Zhang Zhonghong Ou Xuesong Li 28 4 0 30 Jul 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation Shiyuan Li Yixin Liu Qingfeng Chen Geoffrey I. Webb Shirui Pan SSL 37 4 0 29 Jul 2024
Boosting Graph Foundation Model from Structural Perspective Yao Cheng Yige Zhao Jianxiang Yu Xiang Li 24 4 0 29 Jul 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks Yushun Dong Binchi Zhang Zhenyu Lei Na Zou Jundong Li MU 77 5 0 28 Jul 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 41 0 0 27 Jul 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 39 1 0 26 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 48 0 0 26 Jul 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training Fali Wang Tianxiang Zhao Junjie Xu Suhang Wang 32 1 0 25 Jul 2024
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 41 1 0 25 Jul 2024
Balanced Multi-Relational Graph Clustering Zhixiang Shen Haolan He Zhao Kang 36 5 0 23 Jul 2024
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs Huan-jing Zhao Beining Yang Yukuo Cen Junyu Ren Chenhui Zhang Yuxiao Dong Evgeny Kharlamov Shu Zhao Jie Tang VLM 54 7 0 22 Jul 2024
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing Mounir Ghogho 35 0 0 21 Jul 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 54 0 0 21 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Y. Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 48 4 0 20 Jul 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment Shaopeng Wei Béni Egressy Xingyan Chen Yu Zhao Fuzhen Zhuang Roger Wattenhofer Gang Kou 37 0 0 16 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N. Lell A. Scherp GNN 44 0 0 16 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 38 1 0 15 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam D. Ghoshdastidar Stephan Günnemann AAML 40 3 0 15 Jul 2024
GeoMix: Towards Geometry-Aware Data Augmentation Wen-Long Zhao Qitian Wu Chenxiao Yang Junchi Yan 40 2 0 15 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 37 5 0 10 Jul 2024
Estimating the stability number of a random graph using convolutional neural networks Randy Davila GNN 21 0 0 10 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 42 1 0 10 Jul 2024
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation Jianxin Wei Yizheng Zhu Xiaokui Xiao Ergute Bao Yin Yang Kuntai Cai Beng Chin Ooi AAML 27 0 0 06 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 69 6 0 03 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 29 1 0 30 Jun 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 95 1 0 30 Jun 2024
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior Melanie Schaller Daniel Schlor Andreas Hotho 23 3 0 28 Jun 2024
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification Tianjun Yao Jiaqi Sun Defu Cao Kun Zhang Guangyi Chen 40 5 0 28 Jun 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen Hanpeng Liu J. Hopcroft Kun He 44 1 0 27 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 44 1 0 27 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 72 42 0 26 Jun 2024
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights Shengbo Gong Juntong Ni Noveen Sachdeva Carl Yang Wei Jin DD 34 3 0 24 Jun 2024
Link Prediction with Untrained Message Passing Layers Lisi Qarkaxhija Anatol E. Wegner Ingo Scholtes 41 0 0 24 Jun 2024
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning Xiao Han Chen Zhu Xiao Hu Chuan Qin Xiangyu Zhao Hengshu Zhu 28 2 0 24 Jun 2024
Inferring Pluggable Types with Machine Learning Kazi Amanul Islam Siddiqui Martin Kellogg 30 1 0 21 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 31 21 0 21 Jun 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models Jiarui Feng Hao Liu Lecheng Kong Yixin Chen Muhan Zhang 45 2 0 20 Jun 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs Yu Song Haitao Mao Jiachen Xiao Jingzhe Liu Zhikai Chen Wei Jin Carl Yang Jiliang Tang Hui Liu AI4CE 53 4 0 19 Jun 2024
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs Hewen Wang Renchi Yang Xiaokui Xiao 34 1 0 19 Jun 2024
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization Yang Chen Bin Zhou AAML 44 0 0 19 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 49 3 0 19 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Bin Cui AAML 56 3 0 19 Jun 2024
Influence Maximization via Graph Neural Bandits Yuting Feng Vincent Y. F. Tan Bogdan Cautis 39 1 0 18 Jun 2024