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Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,418 papers shown

Title
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 129 0 0 21 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yuqi Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 102 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 67 0 0 16 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N. Lell A. Scherp GNN 81 1 0 16 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam Debarghya Ghoshdastidar Stephan Günnemann AAML 99 3 0 15 Jul 2024
GeoMix: Towards Geometry-Aware Data Augmentation Wen-Long Zhao Qitian Wu Chenxiao Yang Junchi Yan 142 4 0 15 Jul 2024
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu 71 0 0 15 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 94 5 0 10 Jul 2024
Estimating the stability number of a random graph using convolutional neural networks Randy Davila GNN 28 0 0 10 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 129 3 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 122 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 214 6 0 03 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 103 2 0 30 Jun 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 179 1 0 30 Jun 2024
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior Melanie Schaller Daniel Schlor Andreas Hotho 56 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 67 5 0 28 Jun 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen Hanpeng Liu John E. Hopcroft Kun He 103 6 0 27 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 108 2 0 27 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 172 51 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 125 4 0 24 Jun 2024
Link Prediction with Untrained Message Passing Layers Lisi Qarkaxhija Anatol E. Wegner Ingo Scholtes 84 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 67 2 0 24 Jun 2024
Inferring Pluggable Types with Machine Learning Kazi Amanul Islam Siddiqui Martin Kellogg 40 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 89 22 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 60 3 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 94 4 0 19 Jun 2024
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs Hewen Wang Renchi Yang Xiaokui Xiao 63 1 0 19 Jun 2024
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization Yang Chen Bin Zhou AAML 83 0 0 19 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 126 3 0 19 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Tengjiao Wang AAML 143 3 0 19 Jun 2024
Influence Maximization via Graph Neural Bandits Yuting Feng Vincent Y. F. Tan Bogdan Cautis 66 2 0 18 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Sihang Li Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 94 7 0 18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 90 1 0 17 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 71 1 0 17 Jun 2024
On the Feasibility of Fidelity $^-$ for Graph Pruning Yong-Min Shin Won-Yong Shin 64 0 0 17 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 93 3 0 16 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen Haitao Mao Jingzhe Liu Yu Song Bingheng Li ... Bahare Fatemi Anton Tsitsulin Bryan Perozzi Hui Liu Jiliang Tang 106 18 0 15 Jun 2024
MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers Yiwen Chen Tong He Di Huang Weicai Ye Sijin Chen ... Zhongang Cai Lei Yang Gang Yu Guosheng Lin Chi Zhang 134 56 0 14 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 108 2 0 14 Jun 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 90 7 0 12 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 126 2 0 08 Jun 2024
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training Xizhi Gu Hongzheng Li Shihong Gao Xinyan Zhang Lei Chen Yingxia Shao GNN 51 0 0 07 Jun 2024
Graph Mining under Data scarcity Appan Rakaraddi Lam Siew-Kei Mahardhika Pratama Marcus Vinícius de Carvalho BDL 82 0 0 07 Jun 2024
Road Network Representation Learning with the Third Law of Geography Haicang Zhou Weiming Huang Yile Chen Tiantian He Gao Cong Yew-Soon Ong 57 4 0 06 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Chen Luo Hui Liu Jiliang Tang 125 8 0 05 Jun 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo Hong Huang Yongkang Zhou Jiping Zhang Nuo Chen 83 1 0 05 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment Zhenyu Hou Haozhan Li Yukuo Cen Jie Tang Yuxiao Dong 90 8 0 05 Jun 2024
Long Range Propagation on Continuous-Time Dynamic Graphs Alessio Gravina Giulio Lovisotto Claudio Gallicchio Davide Bacciu Claas Grohnfeldt AI4TS 74 7 0 04 Jun 2024
Graph Adversarial Diffusion Convolution Songtao Liu Jinghui Chen Tianfan Fu Lu Lin Marinka Zitnik Dinghao Wu DiffM 97 1 0 04 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 84 7 0 03 Jun 2024