https://graph-learning-benchmarks.github.io/all-editions https://graph-learning-benchmarks.github.io/glb2022/call-for-papers https://graph-learning-benchmarks.github.io/glb2023/call-for-papers https://graph-learning-benchmarks.github.io/glb2021/call-for-papers https://graph-learning-benchmarks.github.io/glb2022 https://graph-learning-benchmarks.github.io/glb2023 https://graph-learning-benchmarks.github.io/glb2021/ https://graph-learning-benchmarks.github.io/assets/papers/glb2021/A_New_Benchmark_of_Graph_Learning_for_PM2.5.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/A_Simple_Yet_Effective_Method_to_Improve_Graph_Fingerprinting_Methods-3.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/CandidateDrug4Cancer_GLB_final-10.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/Chickenpox_WebConf_21.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/EvalNE.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/GLB_Embedding_alignment_methods_in_dynamic_networks.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/GLB_Synthetic_Graph_Generation_Benchmark.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/Heterogeneous-graph-dataset-game-provenance.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/Hyprgraph_Learning_Benchmark.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/Non_Homophilous_Camera_Ready.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/TRIGGER.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/Twitch_Gamers__a_Dataset_for_Evaluating_Proximity_Preserving_and_Structural_Role_based_Node_Embeddings.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2021/catastrophic-forgetting-DGN.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/A_Content_First_Benchmark_for_Self_Supervised_Graph_Representation_Learning.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/A_Heterogeneous_Graph_Benchmark_for_Misinformation_on_Twitter.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/A_Unified_Framework_for_Rank_based_Evaluation_Metrics_for_Link_Prediction_in_Knowledge_Graphs.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/An_Explainable_AI_Library_for_Benchmarking_Graph_Explainers.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/An_Open_Challenge_for_Inductive_Link_Prediction_on_Knowledge_Graphs.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/Benchmarking_Large_Scale_Graph_Training_Over_Effectiveness_And_Efficiency.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/EXPERT_Public_Benchmarks_for_Dynamic_Heterogeneous_Academic_Graphs.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/KGTuner_Efficient_Hyper_parameter_Search_for_Knowledge_Graph_Learning.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/Robust_Synthetic_GNN_Benchmarks_with_GraphWorld.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/TeleGraph_A_Benchmark_Dataset_for_Hierarchical_Link_Prediction.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/Traffic_Accident_Prediction_using_Graph_Neural_Networks_New_Datasets_and_the_TRAVEL_Model.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2022/What_s_Wrong_with_Deep_Learning_in_Tree_Search_for_Combinatorial_Optimization.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2023/2942_graph_generative_model_for_ben.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2023/3122_a_critical_look_at_the_evaluat.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2023/A_Metadata_Driven_Approach_to_Understand_Graph_Neural_Networks.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2023/An_Out_of_the_Box_Application_for_Reproducible_Graph_Collaborative_Filtering_extending_the_Elliot_Framework.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2023/Impact_Oriented_Contextual_Scholar_Profiling_using_Self_Citation_Graphs.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2023/KDD23_WhoIsWho_workshop.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2023/NeuroGraph_GLB_KDD.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2023/TpuGraphs_4_pager___Appendix.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/assets/papers/glb2023/degree_distribution_homophily.pdf 2023-08-06T14:49:24+00:00 https://graph-learning-benchmarks.github.io/ 2023-08-06T14:49:24+00:00