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Poster
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Wed 16:30 |
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? Jingling Li · Mozhi Zhang · Keyulu Xu · John Dickerson · Jimmy Ba |
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Workshop
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Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance Steven Tsan · Sukanya Krishna · Raghav Kansal · Anthony Aportela · Farouk Mokhtar · Daniel Diaz · Javier Duarte · Maurizio Pierini · jean-roch vlimant |
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Poster
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Tue 8:30 |
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu · Wei Cheng · Dongsheng Luo · Haifeng Chen · Xiang Zhang |
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Poster
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Tue 8:30 |
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias Sina Akbari · Ehsan Mokhtarian · AmirEmad Ghassami · Negar Kiyavash |
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Poster
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Tue 16:30 |
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu · Kenji Kawaguchi · Bryan Hooi · Yiwei Wang · Xiaokui Xiao |
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Poster
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Tue 8:30 |
Pooling by Sliced-Wasserstein Embedding Navid Naderializadeh · Joseph F Comer · Reed Andrews · Heiko Hoffmann · Soheil Kolouri |
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Poster
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Tue 8:30 |
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles Octavian Ganea · Lagnajit Pattanaik · Connor Coley · Regina Barzilay · Klavs Jensen · William Green · Tommi Jaakkola |
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Poster
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Fri 8:30 |
Large-Scale Unsupervised Object Discovery Van Huy Vo · Elena Sizikova · Cordelia Schmid · Patrick Pérez · Jean Ponce |
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Poster
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Wed 16:30 |
Diverse Message Passing for Attribute with Heterophily Liang Yang · Mengzhe Li · Liyang Liu · bingxin niu · Chuan Wang · Xiaochun Cao · Yuanfang Guo |
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Poster
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Thu 0:30 |
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs Jinwoo Kim · Saeyoon Oh · Seunghoon Hong |
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Poster
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Thu 0:30 |
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding Shuwen Liu · Bernardo Grau · Ian Horrocks · Egor Kostylev |
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Poster
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Tue 16:30 |
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu · Carl Yang · Yidan Xu · Haonan Wang · Chao Zhang · Jiawei Han |